Business Software for Model Context Protocol (MCP)

Easy MCP AI is a WordPress plugin designed to transform a website into an MCP server, enabling AI assistants to conduct research, manage tasks, optimize content, and analyze data through natural language interactions. This plugin establishes connections with various MCP-compatible clients like Claude, ChatGPT, and Cursor, allowing WordPress functionalities to be utilized as AI-ready tools without the need for Node.js, proxies, or prolonged processes, all while operating seamlessly on standard PHP hosting environments. It offers extensive support for various WordPress elements such as posts, pages, media, comments, users, categories, tags, menus, plugins, themes, blocks, and custom post types, ensuring comprehensive integration across the platform. Furthermore, the plugin enhances functionality by providing integrations with WooCommerce, Advanced Custom Fields, BuddyPress, The Events Calendar, numerous leading SEO plugins, and essential data services like Google Analytics 4, Google Search Console, DataForSEO, Semrush, SE Ranking, and Ahrefs. With this tool, AI assistants are empowered to conduct keyword research, develop content plans, draft and publish articles, refresh SEO metadata, manage various site data, and extract valuable performance insights. In this way, Easy MCP AI not only streamlines workflows but also significantly boosts the overall efficiency of managing WordPress sites through AI capabilities.

Unity AI Gateway offers a unified framework for governance, monitoring, and expenditure management across various AI systems within an enterprise, enabling organizations to oversee agents, tools, models, MCPs, and AI frameworks from a single, regulated interface. It ensures consistent governance across AI services such as Databricks-hosted AI, external models, coding agents, and agent harnesses, while avoiding vendor lock-in for teams. Policies that are aware of user identities regulate agent access, permissible actions, and tool usage, while integrated, custom, and third-party safeguards maintain safety and compliance throughout prompts, responses, and interactions. This system records prompts, traces, tool interactions, payload logs, audit trails, token usage, and policy decisions to facilitate behavior monitoring, incident investigations, and compliance assistance. Furthermore, centralized financial controls enable tracking of consumption across various users, teams, applications, agents, and providers, incorporating budgets, rate limits, and strict spending caps to optimize resource allocation. By streamlining these processes, Unity AI Gateway empowers organizations to harness AI technologies effectively while adhering to their governance and budgetary frameworks.

Bevel serves as a vendor-neutral, Git-integrated control plane tailored for enterprise AI agents, allowing organizations to define their agents, context, skills, tools, permissions, and identities as owned files within their infrastructure, which can then be accessed by any agent runtime through MCP. The context is organized as typed knowledge nodes, each with documented provenance detailing its source, the last modification, and verification timestamps, and this information is compiled into a navigable graph that can be updated and utilized for creating dashboards. Skills are articulated as straightforward Markdown procedures, enabling process owners to easily read, review changes, and transfer them across different runtimes. Additionally, tool manifests outline the capabilities available, while sensitive information is stored securely in a vault, governed by access rules that dictate which agents can read certain files or invoke specific endpoints. Each agent is assigned a unique identity and credentials, ensuring that all actions can be traced back to their source. This comprehensive framework not only enhances security and organization but also promotes transparency and accountability in AI operations.

Superset functions as a powerful IDE designed for managing various terminal coding agents, such as Claude Code and Codex, simultaneously. Each individual task operates within its own isolated git-worktree, allowing you to easily switch between agents when they require your focus. Additionally, it features automation scheduling, support for remote hosts, a comparison viewer, and an MCP server. For those interested in exploring its capabilities, the source code can be found on GitHub. This makes it an invaluable tool for developers looking to enhance their productivity and streamline their workflow.

Qwen3.8-2.4T-A95B stands out as the most extensive open model within the Qwen3.8 series, offering advanced Qwen-Max-class features in a publicly accessible format. Constructed upon the solid framework of Qwen3.5, this model significantly enhances performance in areas such as coding, professional tasks, research, and complex, prolonged agentic activities, emphasizing the reliability of executing intricate, multi-step workflows to completion. Utilizing a cutting-edge mixture-of-experts architecture, it boasts an impressive total of 2.4 trillion parameters, with 95 billion of those being activated, featuring 512 experts and engaging 10 routed along with one shared expert simultaneously. The model accommodates a native context length of 262,144 tokens, which can be extended to around 1.01 million tokens, thereby providing substantial flexibility for various applications. Furthermore, improvements in agent execution, such as enhanced autonomous planning and better responsiveness to environmental feedback, contribute to its efficiency, while its broader compatibility with widely used agent frameworks and development tools facilitates seamless integration into existing systems, making it a versatile choice for developers and researchers alike.

AstroFabric is an advanced AI operating system designed to enhance growth, drive revenue, and streamline digital operations. A variety of specialized AI agents manage different areas such as SEO and online visibility, advertising, outbound pipeline management, competitive analysis, creative processes, lifecycle management, reporting, and site operations, executing comprehensive missions through precise tools. Each operation is conducted under strict budgets, requires approvals for written content, and provides a complete transcript, ensuring that autonomy remains accountable. Users have the option to utilize pre-existing playbooks or create tailored objectives, with operations facilitated through the console, REST API, hosted MCP server, scheduled missions, agent email, or an embeddable chat widget. This flexibility empowers teams to optimize their workflows and achieve their goals efficiently.

Cronloop enables you to automate tasks using AI agents that operate on a predefined schedule without human intervention. Simply outline the task in straightforward Markdown, select either Codex or Claude Code, link your tools, and observe your agents in action. Each agent retains memory from previous operations and enhances its capabilities over time, ensuring continuous improvement with every execution. This innovative approach allows for increased efficiency and productivity in managing repetitive tasks.

Meetstream.ai offers an API for a meeting bot designed for real-time AI agents, enabling developers to seamlessly integrate functionalities to join, record, stream, and transcribe calls across platforms like Zoom, Google Meet, and Microsoft Teams. This technology allows bots to capture essential elements such as real-time video, audio, transcripts, participant details, screenshots, chat interactions, meeting metadata, and MP4 recordings, which empowers teams to concentrate on creating AI-driven insights rather than juggling multiple meeting-platform integrations. The transcription feature includes speaker identification and timestamps, while individual audio tracks for each participant ensure accurate speaker recognition, even amid overlapping dialogue. Furthermore, Meetstream facilitates low-latency audio and video streaming through secure WebSockets, with distinct feeds for each participant catered to real-time applications. Additionally, its calendar integration streamlines the process by automating meeting joins and synchronizing with Google and Outlook calendars, enhancing overall productivity and efficiency in team collaborations.

MaxFusion serves as an innovative AI-driven creative layer tailored for brands and agencies aiming to efficiently produce and amplify high-impact video advertisements. The platform, MaxFlows, seamlessly integrates each aspect of the ad creation process, from competitor analysis and trend identification to ideation, image and video production, and final editing, all within an interactive visual workspace that teams can manage. Users have the capability to extract competitors’ advertisements from the Meta Ad Library, explore TikTok and various social media channels for engaging hooks and concepts, and generate ideas focused on brand advantages and customer challenges. By consolidating advanced image and video models, it enables the creation of initial frames, product visuals, ad stills, and dynamically generated videos, allowing teams to edit, combine, caption, and export creatives that are ready for campaigns. Its unique feature, RIZZ, employs an audio-guided video model to produce user-generated content-style videos featuring expressive AI actors capable of showcasing a range of emotions such as joy, sadness, and celebration, resulting in more authentic performances. Additionally, the platform's bulk production functionality transforms a single advertising brief into extensive batches of advertisements, empowering teams to experiment with a wider array of concepts, perspectives, and variations to enhance their marketing strategies. Ultimately, MaxFusion not only streamlines the ad creation process but also fosters creativity and efficiency among teams in the competitive landscape of digital advertising.

Worthune serves as a comprehensive catalog of financial planning models that are accessible via a REST API, managed through an MCP server, and available in the form of embeddable calculators. Each model adheres to a versioned public specification and undergoes rigorous Concordance testing; this necessitates that an independent second implementation, crafted in a language distinct from the original specification, must align with the production engine across 250 specific cases per model, achieving an accuracy of one part in a billion prior to any release. Continuous integration processes ensure that every modification triggers the harness, where any discrepancies halt the release process. Furthermore, each response includes the specification version, the government constants utilized, their primary sources, and check dates, along with a SHA-256 decision record that can be stored and recomputed later to validate the origin of the figures presented. Designed with developers in mind, Worthune enhances financial mathematics for applications in fintech, wealthtech, and banking sectors; it is particularly valuable for teams needing to demonstrate compliance to reviewers concerning the origins of financial data, as well as for AI agents that require reliable and deterministic financial computations instead of mere predictive outputs. This unique approach not only fosters trust but also ensures precision and accountability in financial modeling.

If you've deployed an MCP server but find yourself uncertain about its usage, TrackMCP can provide valuable insights. - Identify the users of your MCP server - Determine which AI clients are making connections - Analyze the number of new users versus returning ones - Understand the tasks users are attempting - Discover the sequence of tools they utilize - Evaluate whether tasks are completed successfully - Pinpoint where workflows may falter and identify areas for enhancement Simply add one line to your MCP server in either TypeScript or Python, and TrackMCP will automatically handle the rest, presenting your data in the dashboard instantly. Additionally, we offer a complimentary MCP repository where you can showcase your MCP server, allowing others to find and utilize it effectively. Sharing your project not only helps you gain visibility but also fosters a collaborative community around MCP development.

oMLX is an MLX server specifically designed for macOS, enhancing the efficiency and speed of local AI operations on Apple Silicon. It caters to the functional dynamics of coding agents by implementing paged SSD KV caching, which enables the persistence of cache blocks on disk; this means that previously accessed prefixes can be retrieved quickly across different requests and even after server restarts, thereby eliminating the need to recompute them from scratch. As a result, the time taken to generate the first token in lengthy contexts can be significantly reduced, dropping from a range of 30 to 90 seconds down to less than five seconds after the initial interaction. The server adeptly manages simultaneous requests through a continuous batching mechanism via mlx-lm’s BatchGenerator, which enhances overall generation throughput without requiring requests to queue up behind a single task. oMLX is capable of simultaneously serving a variety of models, including LLMs, vision-language models, embedding models, and rerankers, utilizing LRU eviction to manage memory constraints effectively. Furthermore, it is compatible with any MLX-format model sourced from Hugging Face, such as Qwen, LLaMA, Mistral, Gemma, DeepSeek, MiniMax, and GLM, and can also utilize models that are already present in the standard Hugging Face cache, directories associated with LM Studio, or any custom storage locations, ensuring a versatile user experience. This flexibility in model integration enhances the overall usability and practicality of oMLX for developers and researchers alike.

Sofos serves as a desktop workspace for business teams, merging a user-friendly document editor with a real-time Claude chat interface that operates on the same files within a single window on the user's device. The editor is capable of rendering Markdown live as users type, offers features like highlights and callout cards, allows for CSV editing similar to spreadsheet applications, and maintains all files in a plain format compatible with various tools such as Obsidian or VS Code. Users can interact with Sofos using straightforward English commands to read documents, modify files, and retrieve data from linked applications, with every suggested alteration displayed prior to execution. Changes are held in a pending state within Plan mode until the user gives their consent, ensuring control over the editing process. Furthermore, Sofos integrates seamlessly with various platforms including Notion, Linear, Slack, Jira, Confluence, GitHub, Figma, Canva, Asana, Stripe, Supabase, and HubSpot via MCP, enabling teams to collaborate effectively without the need to transfer their data. Additionally, shared workspaces can leverage GitHub in the background while offering intuitive review and approval processes tailored for business users, enhancing overall productivity and collaboration.

ScrapeWise transforms any website into organized data effortlessly, eliminating the need for scraper code. You can choose from pre-built automations tailored for platforms like Amazon, eBay, Walmart, Google Shopping, Shopify, and others, or you have the option to create your own unique automation. Additionally, you can integrate your preferred LLM through MCP (such as OpenAI, Anthropic, or Claude Code) to customize and execute your automations according to your specifications, all supported by an extensive 110 million proxy network. A free tier is also offered, allowing you to get started without the requirement of a credit card, making it an accessible choice for users. This flexibility empowers you to manage data extraction precisely as you need it.

Open Code Review is a command-line interface for code evaluation powered by artificial intelligence, originating from Alibaba's robust internal code review tool and tested through millions of practical applications. It analyzes Git diffs, communicates with a configurable language model via an agent capable of utilizing various tools, and produces organized review feedback with exact line references. Instead of limiting itself to the visible differences, the agent has the ability to access entire files, browse the codebase, examine related modifications, and cross-check context, which allows it to identify more significant issues. Its hybrid structure distinguishes between deterministic engineering functions—such as filtering files, dividing tasks, routing rules, scheduling, and positioning lines—and the reasoning of the language model for detecting risks, exploring context, and classifying problems. Additionally, a specialized reflection module is included to catch any inaccuracies or knowledge gaps before the feedback is delivered. Users can modify the review depth, adjusting it from minimal to extensive based on their need for either rapid assessments or comprehensive evaluations. This flexibility ensures that developers can tailor the review process to their specific project demands.

Flue is an innovative agent framework designed for creating robust AI agents utilizing a customizable TypeScript environment. Developed by the creators of Astro, it incorporates a React-like hooks API for constructing agent functionalities, including persistent state, lifecycle events, various models, tools, sandboxes, subagents, skills, and MCP servers within the codebase. These agents maintain state and can be addressed via HTTP, preserving context throughout interactions and adapting their abilities as tasks evolve. Flue ensures that every session is logged in a reliable stream, allowing for the recovery of accepted tasks even after crashes, restarts, or deployments; this means that interrupted sessions can seamlessly resume, and clients can reconnect without needing to start anew. Developers have the flexibility to operate agents locally, through continuous integration, from their own backend systems, or coordinate them using platforms like Cloudflare Workflows and Inngest. The secure sandboxes allow agents to execute commands, modify files, and perform meaningful tasks, while integrated tools facilitate connections to various APIs and data sources. Flue is powered by Pi and offers compatibility with multiple LLM providers, enabling teams to select the models that best suit their needs. Ultimately, this framework empowers developers to create versatile AI agents that can adapt to changing requirements and environments.

Koodisi is a comprehensive iPaaS solution designed for organizations seeking seamless integration of CRM, ERP, HRMS, and ITSM systems without the need for extensive infrastructure management or the hiring of specialized integration developers. This platform features an intuitive no-code visual workflow builder, a native API Manager that facilitates the publishing and securing of APIs, and a well-defined Dev to Deploy to Test lifecycle that caters to governance-focused engineering teams. By allowing business users and developers to collaborate on the same platform, Koodisi eliminates the common bottleneck associated with relying on specialist personnel, a challenge often seen with other integration platforms like Boomi or MuleSoft. Supporting over 80 major enterprise systems, including Salesforce, SAP, Workday, ServiceNow, HubSpot, Jira, Oracle NetSuite, Microsoft Teams, Slack, and Shopify, Koodisi ensures comprehensive connectivity. Additionally, its built-in REST Client enables integration with any system that offers an API. Users can choose from various deployment options, including a fully managed cloud service or an on-premise agent that allows for secure private network connectivity, making it a flexible choice for diverse business environments. Overall, Koodisi empowers organizations to enhance their operational efficiency and streamline their integration processes effortlessly.

getmcpads integrates a total of 14 advertising, analytics, and search platforms with your AI assistant, enabling a comprehensive analysis of campaign performance. Users can visually review creatives in a gallery format, access various ad media, and generate reports exported to Google Sheets with automatic updates. Additionally, it allows for bulk preparation of supported ads using media sourced from Google Drive, Dropbox, or conversation attachments, and users can preview any campaign modifications before finalizing them. The tool also offers organized agency workspaces for managing client accounts efficiently. Among the sources utilized are Meta Ads, Google Ads, TikTok Ads, Pinterest Ads, X Ads, Snapchat Ads, Amazon Ads, Apple Ads, Microsoft Advertising, Reddit Ads, LinkedIn Ads, RTB House, Google Analytics 4, and Google Search Console. For those interested, a free plan is available, though features may differ based on the source, permissions, plan, and AI client being utilized. It's noteworthy that LinkedIn writings are currently restricted to test accounts, reflecting the evolving nature of the platform. Overall, getmcpads provides a robust solution for marketing professionals looking to streamline their advertising efforts.

MirrorLine enhances the coaching relationship by facilitating improved preparation, fostering deeper reflection, and ensuring clearer follow-through, all within the existing portals or AI tools that coaches currently utilize, featuring the MCP now accessible. Specifically designed for executive coaches and coaching practices, the founding plan is priced at $39 per month and includes a 30-day trial period for new users to explore its benefits. This innovative approach aims to transform how coaching is conducted and experienced.

Qwen3.8-Omni-Flash represents an innovative omnimodal model crafted to enhance the capabilities of agents in practical productivity environments, evolving from simple comprehension of multimodal materials to executing tasks, utilizing tools, and engaging in creative endeavors. This model is built on the advanced Qwen3.8-Flash-Next architecture and can process text, images, audio, and video inputs with an impressive context window of up to 1 million tokens while ensuring robust performance in text-based tasks. It goes beyond mere coding and knowledge work, also enriching workflows related to audio and video by facilitating activities such as video editing, the creation of music videos, film commentary, audiovisual summarization, and live conversations. Notably, the model enhances the understanding of long-form audio and video through structured descriptions, effective evidence collection by agents, comprehension of meetings, and in-depth research focused on video content. Users have the flexibility to define parameters such as subject, time frame, detail level, and desired output format for video evaluations, paving the way for detailed overviews and tailored analyses. This versatility makes it a powerful tool for both professionals and creatives looking to maximize their productivity across various multimedia platforms.

AstrBot is a versatile, open-source AI assistant and chatbot platform designed for diverse applications in messaging, automation, and collaborative efforts. Operating seamlessly across various messaging applications, it features an agent runtime that accommodates Sub-Agents, intricate workflows, tool interactions, context management, scheduled tasks, runtime controls, and secure agent environments for executing real-world actions. The platform's integration of native MCP and Skills enhances its AI functionalities, while a plugin-driven framework grants users access to over 1,000 community-created extensions aimed at boosting productivity, facilitating group activities, managing content workflows, and integrating with external systems. Supporting a variety of AI providers, including OpenAI, Google, and Anthropic, AstrBot offers flexible model switching alongside capabilities such as text generation, visual processing, speech recognition, speech synthesis, and embedding functions. Additionally, it comes equipped with a comprehensive knowledge base that enables parsing of PDF, DOCX, and Markdown files, employs hybrid dense and BM25 retrieval methods, and allows referencing multiple knowledge bases within a single dialogue, thereby enriching user interactions. Overall, AstrBot stands out as an innovative solution for enhancing communication and productivity across a multitude of environments.

Implement a week-long organic marketing campaign utilizing your AI agent on a continuous loop. Scout7 acts as a comprehensive marketing management system; it integrates seamlessly with your agent to strategically organize your weekly agenda based on your brand identity, objectives, and relevant topics, while also crafting the necessary content and scheduling it for publication, all while providing performance insights. Prior to any content going live, you have the opportunity to review and approve everything. - Organizes your weekly strategy based on brand goals and relevant subjects - Blog creation: conducts research, drafts outlines, refines for SEO, and publishes - Video production: develops scripts, plans scenes, narrates, and finalizes styles - LinkedIn carousel graphics: crafted and prepared for multi-page posting - Social media content: generates post ideas along with corresponding images - Manages scheduling and posting across all linked platforms - Engages with audiences: identifies ongoing conversations and formulates responses in your tone - SEO analysis: performs audits, conducts keyword and topic research, and provides actionable recommendations - AI visibility tracking: monitors your mentions in platforms like ChatGPT, Claude, and other AI responses - Competitive analysis: evaluates effective strategies within your industry Compatible with Claude, Claude Code, Cursor, Codex, and ChatGPT, and offers a no-cost initiation for users. Additionally, this system ensures that you remain informed about the latest trends and shifts within the marketing landscape, allowing you to adapt your strategies accordingly.

Opal Zero serves as a governance platform for AI agents that provides just-in-time access management by cataloging every agent and linking it with a responsible owner, evaluating access requests, and implementing decisions through the existing MCP gateway. This comprehensive solution allows organizations to maintain a unified inventory across various identity providers and AI platforms, including Okta, Entra, Anthropic, OpenAI, Bedrock AgentCore, and Cursor, revealing the permissions each agent holds and their respective ownership. The Risk Center highlights access that may be misaligned with intended use, unassigned, or excessive, directing concerns to the relevant owner while offering immediate corrective measures. Paladin assesses requests against established policies and contextual information, pinpoints the least-privileged access routes, adheres to ownership boundaries, and elucidates the rationale behind each resolution. By analyzing real user behavior, Policy Insights uncovers instances of redundant access and suggests enhancements to access policies, moving beyond sporadic fixes. Furthermore, Gateway Enforcement ensures that approved access decisions are implemented as specific, temporary policies within the existing gateway infrastructure, thereby fostering a more secure and organized environment for managing AI agents.

ParrotNotes serves as an AI-driven note-taking solution designed for capturing discussions that a meeting bot cannot attend. Rather than joining video conferences, it records conversations happening in various settings, such as client meetings, site visits, workshops, and even informal chats in the hallway after formal discussions. The recordings are then transcribed and translated into over 99 languages, accommodating conversations that may change languages mid-sentence and featuring speaker identification. ParrotNotes not only summarizes these discussions but also extracts action items and produces 13 different insights. Sales teams can evaluate discovery calls using frameworks like MEDDIC, SPIN, or BANT, in addition to creating tailored summary templates. Users can easily inquire about any transcript using straightforward language, eliminating the need to rewind audio for specific information. Each note is fully searchable, automatically tagged, and can be shared via link or exported in formats like TXT, Markdown, DOCX, or PDF. Users have the option for audio to be automatically deleted, and rest assured, your data is never utilized for AI training purposes. A hosted MCP server links ParrotNotes with Claude and ChatGPT, enhancing its functionality. The application is accessible on iPhone, Android, and Mac, and users can begin with a free version to explore its capabilities. By offering such a comprehensive set of features, ParrotNotes significantly streamlines the process of documenting and analyzing conversations in diverse environments.

Screen Browser captures narrated demonstrations and tutorial videos of your deployed web application. You can either describe the walkthrough in straightforward terms or allow your coding agent to generate it directly from your source code. A genuine browser logs in using a demo account, meticulously follows the instructions step by step, records the screen, adds narration, and incorporates on-screen effects. The final output includes an MP4 video, a GIF, subtitles, chapters, and a thumbnail, with delivery facilitated via a webhook or API to your chosen publication platform. Whenever there are updates to the app, simply modify a line and rerun the process to refresh the content. For coding agents, Screen Browser serves as an MCP server complemented by a specialized skill. This skill instructs the agent on crafting guides that function flawlessly on the first attempt; concurrently, the server handles project creation, guide validation, recording initiation, and video production. It is compatible with any MCP client, including Claude Code, Codex, and Cursor. The sign-in process is seamlessly managed within the browser, eliminating the need for a key to be pasted. This integration streamlines the content creation process, making it more efficient and user-friendly.