Model Context Protocol (MCP) Integrations

AdKit serves as a comprehensive advertising toolkit tailored for marketers and AI agents, integrating competitor analysis, ad development, campaign management, and performance evaluation into a seamless workflow. With access to an extensive library featuring over 500,000 advertisements, users can effortlessly import and monitor competitors across major platforms like Meta, Google, and LinkedIn, pinpoint enduring evergreen creatives, track which experiments competitors have discontinued, and receive timely updates on their activities. Additionally, the AI Ads Generator and Cloner allows for the creation of static ads from a brand kit, mimics the successful formats of competitor ads, crafts fresh variations, and modifies creatives through AI capabilities. AdKit also enhances connectivity with its Ads MCP and CLI tools, enabling AI agents such as Claude, ChatGPT, Codex, Cursor, Gemini CLI, OpenClaw, and others to interface directly with advertising accounts on platforms like Meta, Google, TikTok, Reddit, LinkedIn, X, and Microsoft Ads. These agents can conduct thorough campaign research, identify effective keywords, evaluate account performance, suggest strategies for discontinuation, scaling, or testing, and facilitate the upload of creative assets, ensuring that users have all the tools necessary for effective advertising management. This holistic approach empowers marketers to make more informed decisions and optimize their advertising efforts across multiple channels.

Waterr is an innovative AI meeting platform that enables teams to assign live discussions to autonomous AI personas capable of visual and auditory interactions with participants. Users can articulate the purpose of a meeting in straightforward language or utilize pre-existing templates for various situations, including candidate screening, sales discovery, customer onboarding, coaching, feedback interviews, support, research, and ongoing operational tasks. Each AI persona can be customized with its own appearance, voice, background, and mannerisms, ensuring an experience that resembles engaging with a real human rather than a mere chatbot. Teams have the option to review the persona, scenario prompts, and the entire conversational flow, allowing them to test it live in an actual meeting before presenting it to other participants. Additionally, the same scenario can be integrated into a website as an avatar, inline widget, or a talk-to-us button, enhancing user interaction. For developers interested in leveraging this technology, Waterr offers a comprehensive API for facilitating AI meetings, complete with features such as authentication, SDKs, webhooks, rate limits, and the ability to create custom avatars for a tailored experience. This versatility makes Waterr a valuable tool for teams seeking to streamline their meeting processes while maintaining a personal touch.

CommodityPriceAPI is a developer-centric REST API that provides both real-time and historical pricing information for over 170 commodities, which encompasses precious metals like gold and silver, energy resources such as WTI and Brent crude, natural gas, and various agricultural products. The price data is compiled from exchange-grade sources and updated every second, supporting more than 150 different currencies for quoting. The API features five straightforward endpoints that streamline the entire process: it offers the latest rates, historical data dating back to January 1990, time-series analytics, fluctuation calculations, and a reference for symbols, all secured with a single API key and delivered in a clean JSON format. Users can expect to integrate the API in under five minutes without requiring any SDK. Additionally, the platform includes a dedicated MCP server, which allows AI assistants like Claude and Cursor to access both live and historical commodity data seamlessly. Designed for use in fintech dashboards, trading applications, agri-tech solutions, and energy monitoring systems, it boasts an impressive uptime of 99.97% and an average response time of less than 80 milliseconds, ensuring reliability and efficiency for all users. The versatility of the API makes it an essential tool for developers looking to incorporate commodity pricing into their applications.

Verse serves as a comprehensive platform for the creation, deployment, and management of autonomous AI agents based on a single input prompt. By allowing users to articulate a desired role in straightforward language, Verse constructs a continuous, role-specific worker that possesses its own memory, tools, and frequently a dedicated computing environment, enabling it to handle tasks from inception to completion rather than merely functioning as a temporary chatbot. These intelligent agents are capable of managing emails, engaging in conversations on platforms like Slack and Telegram, browsing the internet, completing forms, utilizing web applications, manipulating files and terminal tools, coding, developing small applications and reports, and connecting to over 1,000 different applications, APIs, MCP servers, and personalized tools. Furthermore, they can operate according to schedules and triggers, chase objectives autonomously, collaborate with other agents within shared Spaces, and maintain business context, preferences, and adjustments over time. Each AI employee can also possess its own email address, phone number, virtual card, computer, and cryptocurrency wallet, allowing them to perform actual actions within a company’s infrastructure. This innovative approach empowers organizations to enhance productivity and streamline workflows in unprecedented ways.

PageIndex is an advanced document AI platform designed for comprehending lengthy and intricate documents, offering accurate, verifiable responses that are directly linked to the original sources. Instead of relying on embeddings, chunking, or vector databases, it employs a reasoning-based retrieval method that converts each document into a tree-like index, reflecting the natural way individuals explore sections, subsections, pages, and content. A reasoning model then analyzes this structure to identify where to find pertinent information, thereby enabling context-aware retrieval that is both traceable and easy to explain. Users have the capability to upload a wide variety of documents such as reports, legal files, research papers, technical manuals, medical records, textbooks, and business plans, allowing them to pose questions that include line-level citations for thorough verification. PageIndex is adept at handling ultra-long documents that can span thousands of pages and is proficient in interpreting not only text but also tables, charts, figures, and images. This comprehensive understanding ensures users can efficiently extract relevant data from extensive materials.

Unitpost serves as a comprehensive platform for customer communication from start to finish. You can specify the type of workflow you need, such as a welcome series, shipping notifications, or a win-back campaign, and Unitpost will create it for you, enabling seamless execution across email, text, and WhatsApp. Currently, we provide support for both transactional and marketing emails through a hybrid template system that combines visual elements with coding capabilities, alongside features such as contacts, segments, campaigns, and automation tools. From the outset, our platform has been designed with a unified approach, utilizing a single contact model, a cohesive event system, and a consistent pricing structure that shares a sending balance, ensuring that every action operates uniformly whether through the user interface, API, or our virtual assistant, Ask Unit. Unlike other tools, we aim not to simply add another email solution to the market, but instead to create a messaging framework that effectively replaces the disparate tools teams often piece together manually, allowing them to focus on achieving results rather than on building processes. This approach not only streamlines communication but also enhances overall efficiency for businesses.

HOL Guard is a security layer designed for AI agents that operates on a local-first basis, monitoring the actions of an AI assistant and preemptively preventing potentially harmful activities. It functions as an intermediary between the agent and the computer, assessing tool calls and local resources for various threats, including the risk of secret and credential leaks, harmful commands, actions driven by prompt injection, and the use of compromised or altered packages, as well as risky configurations and unsafe plugins, skills, hooks, and settings. Threats that are identified can be automatically blocked, while uncertain actions are temporarily halted to seek user consent, ensuring that individuals maintain oversight. Operating entirely on the developer’s local machine, Guard does not require an internet connection and refrains from uploading any files, prompts, or sensitive information. Local evaluations are typically completed in less than 50 milliseconds, and the implementation of Guard does not necessitate modifications to current code or workflows. It is compatible with various coding agents including Claude Code, Cursor, Codex, Gemini CLI, OpenCode, Hermes, and OpenClaw, providing custom integrations that analyze actions prior to their execution. Additionally, this enhances the overall safety and reliability of AI interactions, fostering greater trust in automated processes.

EchoRelay serves as a managed environment for creating tailored API integrations. When detailing a specific integration, it is essential to highlight what data is received, the intended destination system, the authentication credentials utilized, the established retry mechanism, and the process by which the response is returned. EchoRelay ensures that every incoming request is validated and appropriately mapped, providing synchronous replies, processing data streams, distributing to multiple endpoints, or queuing messages for delivery with built-in retry features, a dead-letter queue, and the option for replaying messages. Each adjustment in configuration is meticulously versioned, allowing users to preview changes, compare versions, execute dry runs, schedule modifications, publish updates, or roll back to previous settings seamlessly. When a vendor updates their API or changes credentials, users simply need to revise the configuration and publish the changes without any deployment hassle. Integration can be developed and managed via the REST API, through an MCP server that facilitates AI-driven setup, or through a user-friendly web interface, with the added benefit of starting for free without requiring a credit card. This flexibility allows for efficient management and adaptation as system needs evolve.

Savebase is an innovative bookmark management tool powered by AI, designed to help users efficiently save, organize, search, and rediscover content from various platforms such as Instagram, TikTok, Reddit, X (formerly Twitter), Facebook, LinkedIn, YouTube, and the broader web within a single searchable library. Don't let your saved posts get lost across multiple applications; Savebase seamlessly extracts essential information like titles, captions, creators, thumbnails, transcripts, and metadata, transforming every bookmark into a searchable asset with the aid of AI technology. Users can categorize bookmarks into customized folders, apply tags and notes, and utilize natural language for searching while synchronizing their library across multiple devices. Savebase further enhances productivity by integrating with Notion and Google Sheets, making it an excellent choice for research, content planning, and knowledge management. Whether you're collecting reels, tweets, Reddit discussions, articles, recipes, tutorials, or design inspiration, Savebase consolidates all your valuable content in one easily accessible location. In addition to its core functionalities, Savebase offers a range of key features including an MCP Server, Rule Engine, RSS Feed, Webhook support, semantic search capabilities, video transcription, and secure bookmark storage to ensure your data remains protected and organized. With these comprehensive tools, users can streamline their digital lives and enhance their content curation experience significantly.

Katto is an innovative AI tool designed to convert lengthy videos into concise, ready-to-share short clips by identifying the most impactful moments, reformatting them for vertical viewing, adding captions, and preparing them for online distribution. Each moment is evaluated based on criteria such as hook, flow, value, and trending potential, allowing the system to prioritize clips that are likely to go viral, enabling users to concentrate on the most promising options. The user-friendly editor displays all adjustments made by the AI, including aspects like reframing, speaker selection, captions, and other enhancements, while maintaining the ability to edit each component as needed. With intelligent reframing technology, the tool tracks the primary subject throughout the video, recognizes speakers during conversations, and accommodates various aspect ratios like 9:16, 4:5, and 1:1, including formats for multiple faces and speakers. Users can engage in prompt-first clipping, specifying their desires in terms of intent, topic, hook, or audience perspective instead of relying solely on automatic moment detection. Additionally, Katto provides transcription services for videos, allowing for text-based editing; any modifications to the text, such as deletion or reordering, automatically adjust the corresponding video cuts. This functionality not only streamlines the editing process but also enhances the overall efficiency of creating engaging video content.

Mireye serves as a comprehensive infrastructure for AI agents operating in the physical world, offering a unified API that encompasses data, enrichment, tools, and signals. Various agents, including Claude, ChatGPT, Gemini, Cursor, Grok, Copilot, DeepSeek, and bespoke systems, can utilize a single API with MCP tools to inquire about locations and receive well-cited data meticulously indexed from real-world information. Mireye is capable of resolving addresses, obtaining location-specific attributes, calculating distances, and providing the methodology behind its operations to enable result replayability. Its geocoding endpoint efficiently translates U.S. street addresses into geographic coordinates while transparently detailing the derivation of each location and rejecting low-confidence matches instead of making assumptions. The lookup function broadens a single point into contextual details such as county, census tract, congressional district, metropolitan area, timezone, elevation, and flood risk. Furthermore, the fetch capability returns specific values for requested fields or presets at various U.S. locales, with each value accompanied by its source, time of retrieval, and a confidence rating. This multifaceted API enhances the ability of AI agents to interact with the physical world in a meaningful and precise manner.

Fillo provides a framework for product forms that enables teams to seamlessly integrate forms within their applications without the need to repeatedly construct validation processes, upload features, response management, versioning, and delivery for each new workflow. Unlike traditional methods that rely on iframes, Fillo integrates accessible controls directly into the product, allowing the existing routing, components, CSS, fonts, and design systems to maintain their integrity. Developers have the flexibility to use Fillo’s pre-designed controls, modify specific fields, or implement headless hooks for completely custom layouts compatible with React, Vue, Svelte, Astro, or standard browser applications. Each response can include concealed product context, such as account details, user information, plan specifics, page references, or application state, thus eliminating the need for customers to manually fill in such data. File uploads can be directed to connected storage solutions like Google Drive, Box, Amazon S3, or Cloudflare R2, while maintaining persistent file references attached to the response. Teams can collaboratively assess answers, files, context, and delivery statuses, with the ability to export responses or integrate them into other systems, fostering a more efficient workflow. This holistic approach streamlines the form-building process and enhances overall user experience by keeping everything interconnected within the application.

GoodLads serves as an AI-driven growth manager for Google Ads, transforming campaign performance insights into actionable hypotheses aimed at enhancing ROAS or CPA, with all changes subject to user consent and applied with a single click. By integrating with Google Ads, it analyzes the performance data from the past 30 days for each campaign and generates targeted hypotheses derived from the specific signals present in the account's data. Each suggestion details the campaign in question, the monetary stakes involved, the rationale behind the recommendation, the suggested modification, and the expected metric changes. Daily, GoodLads evaluates search terms, keyword quality, geographical data, audience performance, expenditures, conversions, and ROAS, subsequently ranking opportunities based on their potential impact. It advises on the least risky strategies to implement, advocating for a well-structured Google Ads experiment whenever feasible, suggesting a new paused ad if an experiment isn't possible, and only recommending a live edit when all other safer alternatives have been exhausted. The tool’s systematic approach ensures that advertisers can make informed decisions that align with their campaign goals while minimizing risk.

Dapta is an innovative automation platform powered by AI that assists enterprises in saving valuable time, increasing sales, and expanding operations through voice and text agents that are available 24/7. The AI-driven agents are capable of making calls, sending texts, following up with leads, addressing customer questions, qualifying potential clients, scheduling appointments, and automatically updating CRM systems. Companies can utilize tailored agents as AI receptionists, lead qualifiers, sales follow-up aides, customer support representatives, onboarding coordinators, HR candidate evaluators, or collections experts, or they can develop a completely customized AI employee without the need for coding skills. Dapta provides immediate responses via SMS, voice, chat, and WhatsApp, enabling teams to connect with leads in just seconds, qualify them, and arrange booking in a single interaction, thereby ensuring that every potential sale progresses toward generating revenue. Additionally, the platform's scheduling features allow agents to automatically arrange meetings, send out reminders, synchronize appointments with calendars, and adjust to the changing availability in real-time, enhancing overall efficiency. This capability not only streamlines processes but also ensures that businesses can maintain a competitive edge in their respective markets.

Lenz is a robust API designed for audit-level fact-checking of AI-generated content, aimed at teams that require verification of factual assertions prior to presentation to clients or customers. This tool analyzes various forms of text, such as drafts, memos, or model answers, identifying factual claims that can be substantiated by credible public sources and providing a detailed outcome for each assertion. Its operational framework is built upon four key API functions: extracting claims that can be verified, performing a rapid multi-model assessment of these claims in bulk, elevating ambiguous statements to a comprehensive verification process, and facilitating follow-up inquiries that are based on the verification findings. The complete verification process is structured into five distinct stages: defining the issue, conducting research, engaging in debate, undergoing a panel review, and reaching a conclusion. Lenz meticulously searches through public information, evaluating evidence based on factors like authority, relevance, and timeliness, while also employing models from various vendors to present arguments for both sides of a claim. Ultimately, it delivers a verdict, a confidence score, references to cited sources, and a trace of the reasoning that allows users to conduct their own audits, ensuring transparency and reliability. With Lenz, teams can enhance their decision-making processes by ensuring all claims are thoroughly vetted before they reach their audience.

Neopress is an innovative AI-driven website builder that empowers users to effortlessly create, publish, manage, and enhance websites through interaction with an AI assistant. By simply articulating their vision for a page, users can modify text and design elements, generate and publish content, and handle their website’s operations without needing to engage developers or master intricate tools. This platform integrates website construction with an embedded content management system, analytics, search engine optimization, and geographical targeting features, facilitating a seamless workflow that spans from keyword research to content creation and performance optimization. The AI component is capable of analyzing website traffic patterns and providing actionable recommendations based on actual site data, while multilingual functionality allows teams to create and manage content in various languages from a single platform. Additionally, Neopress employs server-side rendering technology, ensuring that each page is delivered as genuine HTML, which is easily accessible for search engines and AI crawlers, as opposed to a hollow client-rendered framework. As a result, users can experience a more efficient and effective website management process.

Linkly AI is an innovative knowledge engine designed with an AI agent-first approach that transforms your existing computer files into a dynamic, searchable context layer for AI assistants. This tool efficiently analyzes and catalogs a variety of materials, including notes, educational resources, bookmarks, knowledge repositories, audio recordings, meeting videos, images, e-books, and more, enabling agents to search through, compare, and access this information without requiring users to manually create a knowledge base. It supports a wide range of formats such as PDF, Markdown, JPG, PNG, MOV, MP4, PPTX, TXT, WAV, DOCX, HTML, MP3, and EPUB, ensuring versatility in handling different types of content. Each document is equipped with a structured index that gradually reveals pertinent sections, allowing agents to navigate extensive files with intention rather than indiscriminately opening everything. The system incorporates cross-language semantic search capabilities utilizing a local multilingual model, enabling effective searches across numerous languages, with results delivered in under half a second. Additionally, data remains on your device by default, and any third-party tools or models access only the essential snippets required, safeguarding the integrity of your original files. By streamlining the way information is processed and accessed, Linkly AI significantly enhances productivity and knowledge retrieval.

Showly is a platform designed for hosting websites generated by AI agents, providing a sleek environment for users to preview, publish, share, and manage their creations. Users can articulate their desired project to their coding agent—whether it’s a report, research page, presentation, documentation site, portfolio, landing page, prototype, or product specification—and the agent will generate the corresponding page while Showly takes care of the hosting and publication process. The platform integrates seamlessly with various agents like Claude Code, Codex, Cursor, OpenClaw, and Hermes Agent, enabling users to publish their work without disrupting their existing workflows. Changes are first displayed as private previews, allowing users to assess the page, request modifications, and choose the moment of publication. Once live, the work generates a stable, shareable web link, and the version history feature allows for easy restoration of previous versions if necessary. Additionally, Showly has the capability to transform existing outputs into live web pages by simply accepting the provided content. This makes it an invaluable tool for anyone looking to streamline their digital publishing process.

Snowflake CoCo is an AI coding assistant that simplifies intricate data engineering, analytics, machine learning, and AI workflows through intuitive conversations. It possesses a deep understanding of enterprise-level contexts, including data catalogs, lineage, role-based access control (RBAC) policies, computational resources, and pipeline interdependencies, ensuring that the generated code accurately references real-world objects with the appropriate permissions. With CoCo, teams can efficiently identify data, construct pipelines utilizing tools like dbt, Apache Airflow, Postgres, Spark, and AWS Glue, as well as produce executable machine learning pipelines for Snowflake Notebooks and develop applications and AI agents that are rooted in enterprise data. Its toolkit incorporates specialized features tailored for Snowflake, such as semantic catalog searches, data comparison tools, and isolated runtime environments, avoiding reliance on generic code wrappers. For handling intricate, multi-step processes, CoCo’s orchestration capability can intelligently manage sub-agents and facilitate automatic routing between models. As a desktop development platform, CoCo provides users with access to local files, terminal interfaces, and integration with Snowflake, enhancing the overall development experience for data professionals. This comprehensive approach ensures that teams can streamline their workflows while maintaining a strong focus on data security and governance.

Snowflake CoWork serves as a personal work agent designed for knowledge professionals, transforming enterprise data into actionable decisions via a single governed conversational interface. Previously known as Snowflake Intelligence, it operates seamlessly within an organization's existing data environment, enabling reasoning over both structured and unstructured data, conducting analyses, generating reliable insights, and facilitating actions across various business tools without requiring users to sift through dashboards or rely on data teams. The platform's Deep Research feature allows for thorough investigations into questions across the entire data landscape, delivering detailed reports that clarify current events, their causes, and recommended subsequent actions. Furthermore, through its MCP, CoWork integrates with applications like Slack, Gmail, Jira, Salesforce, Microsoft Teams, Outlook, and Exchange, empowering users to execute tasks directly from their conversations. Teams can also utilize Artifacts to preserve charts, discussions, and outputs as reusable knowledge assets, while Skills enable the transformation of repeatable multi-step processes into workflows that can be easily executed by colleagues in the future. This innovative approach not only streamlines workflows but also enhances collaboration among team members by making knowledge easily accessible and actionable.

OXAMP: A Lightweight, Native PHP Development Environment Tailored for Apple Silicon OXAMP serves as a local web development solution specifically crafted for Apple Silicon devices (M1–M4). It offers a streamlined, efficient alternative to bulky Docker containers and traditional MAMP installations, enabling the seamless operation of Apache, MariaDB, and PHP natively on arm64 architecture, resulting in rapid startup times and a low memory footprint. Noteworthy Features: • AI Agent Safeguards (MCP): Ensure safe connections to AI tools like Claude Code or Cursor, with built-in protections to prevent any unauthorized database deletions or modifications to local configurations. • One-Click Setup: Effortlessly initiate pre-configured environments for WordPress or Laravel with just a single click. • Instant PHP Version Switching: Change PHP versions instantly without the need for terminal commands or risking Homebrew disruptions. • Fully Native Architecture: Comes with Apache (2.4.65), MariaDB (11.4.9), PHP (8.4.24), and phpMyAdmin all built for arm64, eliminating issues related to battery consumption or virtual machines. • Lifetime Access: Enjoy the platform for a one-time fee of $29, with no ongoing subscription costs, making it a cost-effective solution for developers. With OXAMP, you can streamline your development workflow while ensuring optimal performance on your Apple Silicon device.

A handless agent is essentially just a chat interface, while superagnt_ serves as a robust MCP server that equips your existing agent with social media insights, web data, lead enhancement capabilities, a fully operational Postgres database, shared memory resources, scheduling tools, queues, webhooks, and an inbox, all accessible through a single key. You can direct any MCP client, such as Claude Code, Codex, Cursor, or OpenClaw, to connect with the superagnt MCP server. Charges apply only when a response is successfully generated, and both free and pay-as-you-go options are available, with the builder base starting at just $19 per month. Moreover, this comprehensive setup allows for seamless integration of various functionalities, enhancing the overall user experience.

Holo4 is H Company's series of generalist computer-use and agentic AI models built to perform multi-step work across software interfaces. It is available as Holo4 27B, a dense 27-billion-parameter model, and Holo4 35B-A3B, a Mixture-of-Experts model containing 35 billion total parameters with 3 billion active. Holo4 can interact with applications by clicking and typing through graphical interfaces, writing and executing code, or calling MCP and API tools. The same model can operate across desktops, websites, Android devices, code sandboxes, and business APIs without requiring developers to select a separate specialized model for each environment. H Company trained Holo4 using 127 billion supervised fine-tuning tokens, with approximately three-quarters consisting of successful agentic trajectories spanning desktop, web, MCP/API, and mobile tasks. Reinforcement learning then trained separate experts for desktop and web interaction and for terminal, MCP, and API work before merging them into a single model. Holo4 27B scored 85.2% on OSWorld, 61.7% on OSWorld 2.0, 45.4% on AutomationBench, and 85.1% on AndroidWorld in the evaluations reported by H Company. The models support a 256K context window, with the 27B model positioned for greater accuracy on long multi-step tasks and the 35B-A3B version positioned as a faster and less expensive alternative. Holo4 is available through a hosted API and downloadable model weights, enabling developers and enterprises to build agents that perform workflows spanning multiple applications and interaction methods.

SearchUnify is an enterprise Agentic AI platform built to transform customer support through autonomous, intelligent operations. Powered by SearchUnifyFRAG™ (Federated Retrieval Augmented Generation), the SCORE framework, and Agentic RAG, the platform unifies siloed enterprise data to deliver contextually accurate, real-time responses across the support lifecycle. Its core product suite includes Cognitive Search for AI-powered retrieval across fragmented knowledge sources, SearchUnifyGPT™ for cited generative AI answers across every support touchpoint, SUVA (Virtual Assistant) for autonomous multi-turn query resolution, Knowbler for knowledge creation and management, and Agent Helper for real-time AI assistance during case resolution. The Agentic AI Suite deploys eight purpose-built agents across the support lifecycle. The AI Support Agent handles end-to-end self-service case resolution. The AI SupportPlus Agent autonomously resolves CRM tickets, initiates clarification loops when context is missing, and hands off complex cases with full context. The AI Classification Agent manages real-time case tagging and routing. The AI Escalation Manager predicts and mitigates escalation risk. The AI Knowledge Agent automates knowledge creation and identifies content gaps. The AI Competency Agent resolves complex L2 technical workflows autonomously. The AI Agent Partner provides in-the-moment guidance to support teams. The AI Case Quality Auditor evaluates 100% of closed cases for continuous improvement. The platform supports BYOLLM, Model Context Protocol (MCP), and a governance layer with role-based access control, PII masking, and compliance with ISO 27001, HIPAA, and SOC 2. It integrates with 100+ enterprise platforms including Salesforce, Zendesk, and ServiceNow.

Launch a backend in under two minutes by starting with a Postgres database that includes features like authentication, instant APIs, real-time subscriptions, and storage capabilities. Accelerate your development process and direct your efforts toward enhancing your products. Each project utilizes a complete Postgres database, recognized globally as a reliable relational database. Implement user sign-ups and logins while ensuring data security through Row Level Security measures. Facilitate the storage, organization, and serving of large files, accommodating various media types such as videos and images. Customize your code and set up cron jobs seamlessly without the need to deploy or manage scaling servers. There are numerous example applications and starter projects available to help you get started quickly. The platform automatically introspects your database to generate APIs instantly, allowing you to avoid the tedious task of creating repetitive CRUD endpoints and concentrate on your product's development. Type definitions are automatically created from your database schema, enabling a more streamlined coding experience. You can also use Supabase directly in your browser without a complicated build process, and develop locally before deploying to production at your convenience. Manage your Supabase projects effectively right from your local machine, ensuring a smooth and efficient workflow throughout your development journey.

SAS Viya is an advanced cloud-native data and AI platform designed to help organizations manage data, develop AI models, and operationalize analytics from one unified environment. The platform combines data access, machine learning, analytics, governance, and decision deployment into a scalable system built for enterprise use. SAS Viya enables businesses to connect to data across multiple sources while maintaining transparency, lineage, governance, and auditability throughout the AI lifecycle. Organizations can use the platform to accelerate model development, streamline workflows, and deploy trusted AI solutions faster and more efficiently. The platform includes built-in governance features that support fairness, explainability, compliance, and responsible AI practices across teams and business processes. SAS Viya also supports secure AI agent integration through the SAS Viya MCP Server, allowing AI-driven tools and copilots to interact with enterprise workflows responsibly. Businesses can deploy the platform in cloud, hybrid, or on-premises environments based on operational and security requirements. SAS Viya is used across industries for applications such as fraud detection, healthcare analytics, forecasting, customer intelligence, and AI model operationalization. The platform is designed to improve productivity by simplifying complex AI workflows and enabling collaboration between data scientists, analysts, and business users. Backed by decades of analytics expertise, SAS Viya helps organizations transform raw data into transparent and actionable business decisions at scale.

Base is a secure, cost-effective, and developer-friendly layer 2 solution for Ethereum, designed to usher in the next billion users to the web3 ecosystem. It offers the essential security and scalability required for your decentralized applications, utilizing Ethereum's foundational security while allowing smooth onboarding from Coinbase, Ethereum L1, and other compatible chains. Experience the Ethereum Virtual Machine (EVM) at a reduced cost, and gain early access to advanced Ethereum functionalities like Account Abstraction (ERC4337), alongside straightforward developer APIs for gasless transactions and smart contract wallets. Built on Optimism’s open-source OP Stack, Base provides an effortless way for decentralized applications to tap into the extensive range of products and distribution options from Coinbase. With seamless integrations, easy fiat onramps, and entry into the Coinbase ecosystem—home to 110 million verified users and $80 billion in assets—Base positions itself as a pivotal player in the web3 landscape. The combination of innovative features and robust support makes Base an attractive option for developers looking to create impactful decentralized applications.

The AI Knowledge Platform. The Pinecone Database, Inference, and Assistant make building high-performance vector search apps easy. Fully managed and developer-friendly, the database is easily scalable without any infrastructure problems. Once you have vector embeddings created, you can search and manage them in Pinecone to power semantic searches, recommenders, or other applications that rely upon relevant information retrieval. Even with billions of items, ultra-low query latency Provide a great user experience. You can add, edit, and delete data via live index updates. Your data is available immediately. For more relevant and quicker results, combine vector search with metadata filters. Our API makes it easy to launch, use, scale, and scale your vector searching service without worrying about infrastructure. It will run smoothly and securely.

StealthGPT is an AI content platform focused on humanizing, rewriting, detecting, and improving AI-generated writing. The platform allows users to paste text created by ChatGPT, Claude, Gemini, or other AI tools and transform it into more natural, readable, and human-sounding copy. Its core tools include AI Humanizer, AI Detector, Stealth Writer, Stealth Agent, SEO Writer, AI Grammar Checker, AI Summarizer, AI Text Enhancer, AI Text Simplifier, AI Sentence Rewriter, AI Paragraph Generator, AI Prompt Generator, AI SEO Optimizer, AI Formalizer, and Chat with PDF. Stealth Writer helps users generate structured documents with citations, bibliography formatting, and document-level narrative guidance. Stealth Agent supports research, drafting, refinement, SEO articles, academic-style writing, and social content in a single workflow. The built-in AI detector helps users scan text and review a human score before publishing or submitting content. StealthGPT also offers API access, MCP support, business features, a Chrome extension, iPhone access, and multilingual writing support across 250+ languages. Its SEO Writer is designed to create keyword-rich, natural content for search visibility. By combining AI rewriting, detection, research assistance, citation tools, SEO writing, API access, and workflow integrations, StealthGPT helps users refine AI-assisted writing at scale.

Vectara offers LLM-powered search as-a-service. The platform offers a complete ML search process, from extraction and indexing to retrieval and re-ranking as well as calibration. API-addressable for every element of the platform. Developers can embed the most advanced NLP model for site and app search in minutes. Vectara automatically extracts text form PDF and Office to JSON HTML XML CommonMark, and many other formats. Use cutting-edge zero-shot models that use deep neural networks to understand language to encode at scale. Segment data into any number indexes that store vector encodings optimized to low latency and high recall. Use cutting-edge, zero shot neural network models to recall candidate results from millions upon millions of documents. Cross-attentional neural networks can increase the precision of retrieved answers. They can merge and reorder results. Focus on the likelihood that the retrieved answer is a probable answer to your query.

Coral is a developer-focused data access platform that lets teams query different tools and systems with SQL instead of writing custom connectors. It converts APIs, databases, files, and software platforms into readonly schemas that agents and humans can inspect, join, and analyze. Users can connect sources such as GitHub, GitLab, Slack, Linear, Datadog, Sentry, OpenTelemetry, Intercom, Stripe, and incident management tools. Once connected, Coral makes those sources available as tables, allowing cross-system questions to be answered through standard SQL. The platform is designed for AI agent workloads, giving coding agents and operational assistants access to structured context without unsafe write access. Coral works through the command line and over MCP, so multiple agents can share one runtime. It includes query pushdown, caching, pagination handling, schema hints, recommended joins, and relationship learning based on usage patterns. These capabilities help reduce expensive tool loops and improve the quality of agent-generated answers. Coral gives teams a practical way to make scattered operational data accessible, queryable, and useful for engineering, SRE, security, support, and internal operations.

TestSprite’s AI is capable of creating test plans, developing integration and end-to-end test scripts, managing the scheduling and execution of test cases on a cloud platform, debugging based on the results obtained, and consolidating all findings into thorough reports. It can also analyze user-submitted documentation to comprehend the testing object, allowing it to generate test plans automatically and forward them to clients for their approval. Following the approval of the test plan, the corresponding test code can be implemented in mere seconds. Rather than hiring testing engineers or contractors for pre-launch validation, you simply need to rely on our solution. TestSprite’s AI will autonomously schedule and run test cases on our cloud infrastructure, with the capability to debug and pinpoint possible root causes based on the results from cloud testing. In the final stage, TestSprite will deliver detailed and comprehensive reports to clients, ensuring clarity and transparency throughout the process. Embracing simplicity is effortless when you bypass numerous essential features, streamlining your testing experience.

Glama is a versatile AI-powered platform that enables users to leverage a wide range of models and tools for enhanced productivity. Whether you're analyzing documents, solving complex mathematical equations, or visualizing ideas in real time, Glama brings AI's full potential to your fingertips. With its customizable workspace, AI model comparison, and seamless integration with tools like API access and shared workspaces, Glama provides a powerful environment for businesses looking to improve workflows and boost collaboration, all while ensuring data security and transparency.

Allo is an all-in-one AI phone system built specifically for solopreneurs, freelancers, and small business owners who need a smarter way to manage their business communications. Whether you're working from your home office, juggling meetings on the go, or managing a growing team without a fixed desk setup, Allo gives you the tools to stay connected, professional, and in control—directly from your smartphone. At the heart of Allo is a mobile-first design tailored for modern entrepreneurs. No more juggling multiple apps or missing calls when you're out of the office. Allo centralizes your calls, SMS, and voicemails in one clean, intuitive interface. It comes with a powerful AI receptionist that automatically answers and handles incoming calls, provides helpful responses, and ensures your clients are never left hanging. If you're unavailable, our AI call screening feature will take over, intelligently filtering out spam and unwanted calls so you only engage with the ones that matter. Allo also lets you create a professional experience for your callers. Set up business hours, define IVR menus to guide callers to the right place, and use call forwarding rules to make sure no call goes unanswered—even if you're in a meeting or offline. You can even add a second phone number to keep your business and personal lives separate without needing a second device. Additional features like call recording and AI-generated call summaries help you stay organized and keep track of important conversations. You’ll never forget a detail, even during your busiest days. And with seamless integrations with popular CRM tools, Allo helps you capture leads, follow up with clients, and stay on top of your sales pipeline effortlessly.

Claude for Financial Services revolutionizes the realm of institutional finance by integrating cutting-edge AI with robust financial data infrastructure and top-tier security into a cohesive intelligence framework. This Financial Analysis Solution seamlessly links key data sources, including S&P Global, Daloopa, and various internal systems within a single interface, ensuring that each data point is directly traceable to its original source for immediate verification and complete transparency. Designed with privacy at its core, it guarantees that your inputs and outputs will not contribute to the training of the underlying models by default. The platform also features guided onboarding and MCP-based connectors, facilitating smooth deployment in diverse environments such as banking, insurance, asset management, and fintech. With its native workflows and intelligent search functions, teams can efficiently handle intricate financial tasks on a large scale, quickly verifying information across numerous sources to minimize errors and conduct detailed analyses in mere minutes instead of hours. This innovative approach not only enhances productivity but also empowers financial professionals to make more informed decisions rapidly.

Supercamp revolutionizes organizational operations by establishing a cohesive AI environment where various LLMs, tools, and personalized assistants work in harmony. Rather than dealing with multiple AI platforms and the resulting loss of context, you gain a singular intelligent hub where your AI assistants comprehend your business dynamics, retain your preferences, and integrate seamlessly with your existing processes. This innovative approach can save you countless hours by providing AI solutions that genuinely understand your requirements and deliver tailored support. Key Features - Multi-LLM Integration: Utilize ChatGPT, Claude, Gemini, and other top-tier AI models from a single interface, allowing you to select the most suitable AI for each unique task at hand. - Custom AI Assistants: Develop dedicated AI assistants that are customized to meet your business requirements, incorporating specific knowledge and expertise relevant to your organization. - Team Management: Effectively manage team members, facilitate the sharing of AI assistants across various departments, oversee permissions, and ensure consistent AI performance throughout the organization, fostering enhanced collaboration.

Orshot transforms marketing design workflows by offering AI-driven automation for creating visuals and templates at scale. Its platform provides an extensive library of ready-to-use templates for social media, e-commerce, events, and branding, while also enabling users to design custom assets with Orshot Studio. Teams can import existing designs from Figma and Canva, then parameterize templates with dynamic data for automated output. With every template functioning as an API, developers can connect Orshot to thousands of apps using Zapier, n8n, or Airtable, while advanced users can access SDKs in Node, Python, Ruby, and PHP. Beyond automation, Orshot ensures brand consistency with dedicated assets libraries, smart layouts, and responsive design elements. Enterprise teams benefit from workspaces to organize projects, role-based collaboration, detailed audit logs, and performance monitoring. Its infrastructure is designed for high-volume rendering, supporting up to 100,000 renders per month on enterprise plans. By reducing design bottlenecks, Orshot empowers businesses to slash production time, maintain visual consistency, and scale content creation seamlessly.

Markup AI offers an API-based platform designed to assist organizations in scanning, evaluating, rewriting, and enforcing quality and compliance criteria for their written materials. This platform allows users to establish guidelines for brand voice and style, as well as regulatory or legal requirements, integrating seamlessly with various content workflows through APIs, Zapier, MCPs, or direct application connections. As a result, any draft or published content can be reviewed for uniformity, tone, precision, and compliance. When content fails to meet set standards, it is flagged for review, and users can see side-by-side comparisons that illustrate what changes were made, the reasons behind them, and the extent of improvements achieved. Additionally, existing content libraries can undergo audits, enabling the identification of large volumes of content that may be outdated, misaligned, or requiring branding and legal revisions, which can then be rewritten in bulk. The platform aims to accelerate the publishing timeline, mitigate risks related to brand or regulatory errors, enhance trust in content operations, and increase team productivity. Overall, Markup AI streamlines the content management process, making it easier for organizations to maintain high standards across all written communications.

CData's artificial intelligence solution revolves around Connect AI, which offers AI-enhanced connectivity features that enable real-time, governed access to enterprise data without transferring it from the original systems. Connect AI operates on a managed Model Context Protocol (MCP) platform, allowing AI assistants, agents, copilots, and embedded AI applications to directly access and query over 300 data sources, including CRM, ERP, databases, and APIs, while fully comprehending the semantics and relationships of the data. The platform guarantees the enforcement of source system authentication, adheres to existing role-based permissions, and ensures that AI operations—both reading and writing—comply with governance and auditing standards. Furthermore, it facilitates capabilities such as query pushdown, parallel paging, bulk read/write functions, and streaming for extensive datasets, in addition to enabling cross-source reasoning through a cohesive semantic layer. Moreover, CData's "Talk to your Data" feature synergizes with its Virtuality offering, permitting users to engage in conversational interactions to retrieve BI insights and generate reports efficiently. This integration not only enhances user experience but also streamlines data accessibility across the enterprise.

Chrome Sidekick is an innovative browser extension that functions as an AI sidebar agent integrated into every webpage you visit. It has the capability to analyze both the HTML structure and visual elements of pages, enabling it to provide explanations, extract data automatically, execute workflows, and automate complex multi-step tasks. Users are empowered to create reusable Workflows from their instructions, establish connections with external applications through MCP (a connector protocol), and use voice commands for a hands-free experience. The assistant is designed to retain memory, allowing it to remember context and efficiently manage follow-up tasks over time. Additional features include the ability to switch between different AI models, use custom API keys, toggle between light and dark modes, and remotely control the tool via Cursor or Claude Desktop. Essentially, Chrome Sidekick serves as a companion on every webpage, making it easy to inquire about the current site, automate various actions, and extract necessary information without the hassle of constant switching. This seamless integration enhances productivity and streamlines your browsing experience.

Agentforce Vibes presents vibe coding, an innovative AI-driven method that empowers developers to transform natural language directives into fully functional Salesforce applications that meet enterprise-level security, governance, and infrastructure requirements. In contrast to more basic vibe coding solutions that are primarily focused on prototyping, Agentforce Vibes encompasses the entire development lifecycle, including ideation, construction, testing, deployment, and observability, while seamlessly integrating with Salesforce's foundational platform and trust frameworks. Acting as an AI-enhanced integrated development environment (IDE) compatible with VS Code or similar environments, it comprehends your Salesforce schema and metadata, facilitating capabilities such as agentic code generation for multiple languages (Apex, HTML, CSS, JavaScript), intelligent enforcement of rules, creation of test cases, debugging, rollbacks, and natural language-driven DevOps. Furthermore, it accommodates various language models, is expandable through the Model Context Protocol (MCP) featuring over 20 integrated tools, and promotes the reuse of pre-existing code, making it a versatile solution for developers. This comprehensive approach not only streamlines development processes but also enhances productivity by reducing the time and effort required to build robust applications.

AgentShield is an innovative identity platform designed to authenticate both human users and AI agents representing them. It allows organizations to verify an agent's identity, confirm the authorization from the individual behind the agent, and assess the agent's reliability, all through user-friendly APIs and JavaScript integrations. This platform also features capabilities for identifying agent interactions on websites and implements identity and permission validations for both agent-to-agent and agent-to-service communications, adhering to the open Model Context Protocol Identity (MCP-I) standards. Additionally, with the KYA feature, companies can effectively oversee agent identities and their permissions, establish audit trails, automate workflows, and apply precise access controls for autonomous systems. This comprehensive approach not only safeguards against the misuse of digital identities but also promotes clarity when AI systems operate on behalf of users, ultimately enhancing trust in digital interactions. As technology evolves, maintaining such robust security measures becomes increasingly crucial for organizations navigating the complexities of digital identity management.

The Parallel Search API is a specialized web-search solution crafted exclusively for AI agents, aimed at delivering the richest, most token-efficient context for large language models and automated processes. Unlike conventional search engines that cater to human users, this API empowers agents to articulate their needs through declarative semantic goals instead of relying solely on keywords. It provides a selection of ranked URLs along with concise excerpts optimized for model context windows, which enhances accuracy, reduces the number of search iterations, and lowers the token expenditure per result. Additionally, the infrastructure comprises a unique crawler, real-time index updates, freshness maintenance policies, domain-filtering capabilities, and compliance with SOC 2 Type 2 security standards. This API is designed for seamless integration into agent workflows, permitting developers to customize parameters such as the maximum character count per result, choose specialized processors, modify output sizes, and directly incorporate retrieval into AI reasoning frameworks. Consequently, it ensures that AI agents can access and utilize information more effectively and efficiently than ever before.

Webrix MCP Gateway serves as a comprehensive infrastructure for enterprises aiming to integrate AI solutions securely, allowing for seamless connections between various AI agents (such as Claude, ChatGPT, Cursor, and n8n) and internal systems on a large scale. Utilizing the Model Context Protocol standard, Webrix presents a unified secure gateway that tackles the primary hurdle hindering AI adoption: security apprehensions related to tool accessibility. Key features include: - Centralized Single Sign-On (SSO) and Role-Based Access Control (RBAC) – This allows employees to connect to authorized tools immediately, bypassing the need for IT ticket requests. - Universal agent compatibility – The platform supports any AI agent that complies with the MCP standard. - Robust enterprise security – Encompasses audit logs, credential management, and strict policy enforcement. - Self-service functionality – Employees can effortlessly access internal resources (like Jira, GitHub, databases, and APIs) through their chosen AI agents without requiring manual setups. By addressing the essential challenge of AI integration, Webrix empowers your workforce with the necessary AI capabilities while ensuring robust security, oversight, and compliance. Whether you choose to deploy it on-premise, within your cloud infrastructure, or utilize our managed services, Webrix adapts to fit your organization's needs.

Akamai API Security stands out as a versatile, vendor-neutral solution for API threat protection that operates seamlessly across various environments, including SaaS, on-premises, and hybrid setups, ensuring that organizations maintain comprehensive visibility over their entire API landscape, no matter where their APIs are hosted. Its features encompass continuous discovery and inventory management of APIs, automated assessments of the security posture for exposed APIs, real-time monitoring of API traffic flows (both north-south and east-west), and behavior analytics aimed at identifying unusual or abusive usage patterns, all while integrating smoothly with development workflows to facilitate early testing and remediation of API-specific vulnerabilities during the development lifecycle. Among its primary advantages are the ability to compile an exhaustive inventory of APIs, detect and safeguard vulnerable endpoints, automate security testing for APIs, and respond promptly to potential API threats, all while ensuring compatibility with existing security tools like gateways and WAFs without necessitating their replacement. This holistic approach not only enhances security but also streamlines the integration of API management into an organization’s overall security framework, making it an invaluable asset for modern enterprises navigating the complexities of API security.

Scanner.dev is a cloud-based security data lake and a streamlined security information and event management (SIEM) platform that allows users to index logs directly into their Amazon S3 storage, thereby enabling the retention of unlimited logs and facilitating full-text searches across vast amounts of data in mere seconds, all without the need for additional ETL processes or schema setups. With its lightweight indexing system, any log format can be made immediately searchable, and it offers rapid search capabilities, ongoing threat detection through customizable detection rules that can be managed as code via GitHub, and seamless alerting with APIs for automation and existing security workflow integration. The platform's streaming detection engine constantly assesses rule queries in nearly real time and is equipped to backtest detection logic using historical data. Furthermore, its API and Model Context Protocol (MCP) not only provide programmatic access but also allow for AI-assisted evaluation of security data, enhancing the overall security analysis process. This robust architecture ensures that organizations can effectively manage and respond to security threats with agility and precision.

TestDino is an innovative platform designed specifically for test reporting and management, with a focus on Playwright and support for multi-cloud platforms. It empowers developers by allowing them to leverage tools like Claude Code and Cursor to effortlessly query reports, investigate flaky tests, compare different test runs, and manage test suites using natural language commands. The integration with GitHub enables automatic posting of AI-generated summaries to pull requests and commits, while continuous integration checks can prevent merges if they do not meet quality standards. Users can efficiently rerun only the tests that failed with a single command, significantly reducing both CI time and costs. Additionally, pull request tracking associates each test run with its corresponding commit, and branch mapping organizes test runs according to their respective environments. Role-based dashboards provide QA teams with valuable insights into flaky tests and failure trends, while developers can quickly identify which tests may have been impacted by their latest changes. Each test run features AI-driven failure classification accompanied by confidence scores, suggestions for fixes, a specifications explorer, and grouped error analytics for deeper understanding. Furthermore, integration with tools like Jira, Linear, Asana, or Slack facilitates the creation of comprehensive bug reports that include all necessary context for efficient resolution. With its robust features, TestDino ensures that both developers and QA teams can maintain high-quality standards in their software development processes.

WSO2 Bijira is an advanced SaaS platform designed for managing the complete lifecycle of APIs with a focus on AI and cloud-native capabilities, handling aspects such as design, security, governance, deployment, and monitoring for both internal and external APIs, as well as those driven by AI, across hybrid and multi-cloud settings. It features a centralized control panel that ensures uniform API policy, security measures, and analytics, while also offering tools for visual API proxy mapping, intuitive drag-and-drop policy management, and a customizable developer portal aimed at enhancing API adoption and reuse. By harnessing AI technologies, Bijira facilitates the generation of OpenAPI specifications, performs API testing through natural language inputs, ensures compliance with governance standards, and integrates valuable insights back into the API development workflow. Additionally, it incorporates robust security features, such as OAuth2, OIDC, and fine-grained access control, while promoting governance-as-code through AI-driven policy validation to ensure comprehensive oversight and reliability. This innovative approach empowers organizations to optimize their API strategies and streamline their integration processes effectively.

The Teradata Enterprise AgentStack is a comprehensive platform designed for the development, deployment, and management of enterprise-level autonomous AI agents that seamlessly connect to reliable data and analytics, aiding businesses in transitioning from experimentation phases to fully operational agentic AI with robust enterprise control. This platform consolidates diverse functionalities to facilitate the entire agent lifecycle; AgentBuilder streamlines the process of creating intelligent agents through both no-code and pro-code tools that are compatible with Teradata Vantage and various open-source frameworks. Furthermore, the Enterprise MCP provides secure, context-rich access to well-governed enterprise data along with tailored prompts that enhance agent intelligence. Meanwhile, AgentEngine ensures scalable agent execution while maintaining consistent memory and reliability across various hybrid environments. Additionally, AgentOps plays a crucial role in centralizing the monitoring, governance, compliance, auditability, and policy enforcement, ensuring that the agents operate within established parameters, which ultimately leads to increased efficiency and adherence to organizational standards. Collectively, these features empower organizations to harness the full potential of autonomous AI in a controlled and efficient manner.

Intent is a public beta desktop workspace tailored for specification-driven development and the orchestration of multiple agents, empowering developers to strategize, carry out, and refine intricate coding tasks through the collaboration of synchronized AI agents. Central to its workflow are dynamic specifications, which enable teams to articulate their project requirements while allowing the agents to carry out those tasks and continuously update the specifications to mirror the actual results. The platform offers a cohesive environment where various agents can operate simultaneously without causing conflicts, thereby removing the hassle of managing multiple terminals, branches, or dispersed prompts. Enhanced by Augment’s Context Engine, each agent possesses a comprehensive understanding of the entire codebase, which guarantees coherence across the planning, execution, and verification phases. Intent is compatible with leading-edge models and provides flexibility for developers to select and combine them according to the complexity of their tasks, whether it’s for designing architecture, executing rapid iterations, or conducting in-depth code analysis. By streamlining these processes, Intent aims to enhance productivity and collaboration within development teams.