Find and compare the best Artificial Intelligence software for Model Context Protocol (MCP) in 2026
Sort:
Use the comparison tool below to compare the top Artificial Intelligence software for Model Context Protocol (MCP) on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.
-
1
Maxfusion
Maxfusion
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. -
2
TrackMCP
TrackMCP
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. -
3
oMLX
oMLX
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. -
4
Sofos
Sofos
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. -
5
ScrapeWise
ScrapeWise.ai
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. -
6
Open Code Review
Alibaba
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. -
7
Flue
Flue
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. -
8
Qwen3.8-Omni-Flash
Alibaba
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. -
9
AstrBot
AstrBot AI
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. -
10
ParrotNotes
ParrotNotes
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. -
11
ZeroDrift
ZeroDrift
ZeroDrift serves as an AI enforcement runtime, rigorously evaluating each AI-generated message for compliance with applicable regulations and company guidelines prior to transmission. Its innovative Anchor compliance model integrates a specialized language model with a deterministic rules engine to assess outputs and deliver one of four potential outcomes: pass, rewrite, block, or escalate. Each decision references the specific rule that informed the verdict, and any modified content undergoes a second evaluation before being sent out. Organizations have the flexibility to establish their own internal guidelines, prohibited lists, approval processes, and communication protocols, which ZeroDrift diligently enforces in conjunction with existing regulatory obligations across various AI platforms including chat, email, documents, marketing, APIs, and more. Additionally, Guard offers an enforcement API that can be positioned before any AI agent or language model, enabling applications to respond directly to each determination without the need to overhaul the existing AI infrastructure. This functionality not only streamlines compliance efforts but also enhances the overall governance of AI communications within organizations. -
12
Adopt AI
Adopt AI
Adopt AI helps modern applications deliver an agentic experience to their end users within days. Using Adopt, end users of applications can execute complex actions across their application via natural language commands, automate workflows and unlock new possibilities for application innovation. In this future, AI agents will understand application/website workflows, know which components to call, create dynamic plans, and execute those plans to achieve desired outcomes. This approach means that humans will no longer need to learn how to use applications; instead, they can interact with AI in natural language to accomplish tasks or have AI automatically perform tasks based on schedules or triggers. Adopt AI is helping companies race against time to build their own AI copilot and set of autonomous/semi-autonomous agents. -
13
AWS DevOps Agent
Amazon
The AWS DevOps Agent is a solution provided by Amazon Web Services (AWS) that functions as a self-sufficient, continuously operating operations engineer, tasked with identifying and preventing issues within your infrastructure, applications, and deployment processes. This tool autonomously analyzes your application assets and their interconnections, encompassing infrastructure, code repositories, deployment workflows, monitoring tools, and telemetry data, to synthesize information from logs, metrics, traces, deployment activities, and recent code modifications. In the event of an alert, unexpected error surge, or a help request, the DevOps Agent promptly initiates an automated analysis; it conducts incident triage around the clock, performs root-cause examinations, and offers detailed remediation strategies that can seamlessly integrate into team workflows (for instance, through Slack, ServiceNow, or PagerDuty) or directly generate support tickets with AWS. Moreover, this proactive approach ensures that potential issues are addressed before they escalate, enhancing the overall reliability of your systems. -
14
Multilith
Multilith
Multilith is an organizational memory layer for AI coding tools that ensures your AI understands how your team actually builds software. Instead of starting from zero every session, your AI gains instant awareness of your architecture, design decisions, and established coding patterns. By adding one configuration line, Multilith connects your IDE and AI tools to a shared knowledge base powered by the Model Context Protocol. This allows AI suggestions to follow your standards, warn against breaking architectural rules, and reference past decisions automatically. Tribal knowledge that once lived in Slack threads or people’s heads becomes accessible to the entire team. Documentation evolves alongside the code, staying accurate without manual upkeep. Multilith works across tools like Cursor, Copilot, and Claude Code with no workflow disruption. The result is faster development, fewer mistakes, and AI assistance that feels truly aligned with your team. -
15
PostLake
PostLake
$13/month PostLake offers a comprehensive social media API designed for developers, product teams, and AI systems. By connecting your accounts just once, you can effortlessly publish, schedule, and analyze your content through a single interface—be it a dashboard, REST API, or MCP—ensuring a reliable and consistent response format for your applications. Designed with an agent-first approach, it guarantees safe and dependable posting with clear error messages, reasonable retry mechanisms, and standardized analytics, empowering you or your agent to make informed decisions on content publication. The platform is continuously evolving, expanding its network and capabilities, rather than being restricted to a static list of destinations. To get started, simply create an account, link your profiles, upload your media, and choose to publish or schedule your posts. You maintain complete control, with the option to disconnect at any time; we only engage with the accounts and content you authorize. Importantly, we prioritize your privacy by not selling your data or utilizing your posts for AI training purposes. Whether you are launching an agent, automating publishing across multiple channels, or integrating social posting into your product, PostLake serves as the bridge between your software and the social media landscape, enhancing your connectivity and efficiency in the digital realm. -
16
Bulkgrid
Bulkgrid
$24/month Empower your AI with the essential knowledge for confident responses. Bulkgrid transforms websites and GitHub repositories into dynamic, searchable contexts, complete with verifiable references. By retrieving pertinent information instead of inputting entire sources into prompts, you can conserve tokens while ensuring your AI provides reliable and actionable answers. The effectiveness of your AI's responses hinges on the quality of the knowledge it accesses. Bulkgrid enhances this by converting websites and GitHub repositories into fresh, searchable contexts, supplying your AI with relevant information and references that can be checked for authenticity. Rather than burdening every prompt with entire pages or repositories, you can extract the necessary context your AI requires. This approach not only saves tokens and minimizes excessive input but also maintains a focus on the original query. Bulkgrid streamlines the process, making diverse sources like product documentation, technical guides, and code more accessible for AI to explore and utilize effectively. By optimizing the way your AI engages with information, you can significantly improve the quality of its answers. -
17
Qwen 4
Alibaba
Qwen 4 is the upcoming fourth-generation foundation model in Alibaba’s Qwen AI family. Alibaba publicly confirmed at its 2026 Apsara Conference that the model is currently being trained. The company has not yet released technical specifications, model weights, API access, pricing, benchmark results, or a launch date for Qwen 4. Its development forms part of Alibaba’s broader effort to advance foundation models capable of increasingly complex and long-horizon work. The Qwen team is also researching recursive self-improvement, in which models use empirical feedback to identify weaknesses, design experiments, evaluate results, and iteratively improve training processes. Alibaba demonstrated this approach with Qwen3.8-Max, which completed 33 automated optimization cycles during a month-long experiment and improved its Artificial Analysis score from 40 to 45. These experiments provide context for Alibaba’s model-development direction but do not establish specific Qwen 4 capabilities. Alibaba has additionally outlined Qwen 4.5 and Qwen 5 models that could eventually scale to between 5 trillion and 10 trillion parameters. Until Qwen 4 is released, its exact architecture, modalities, performance, deployment options, and licensing remain to be announced. -
18
Claude Fable 5.5
Anthropic
Claude Fable 5.5 is an anticipated but currently unannounced model in Anthropic's Claude family, and Anthropic has not confirmed that a model with this name will be released. As of September 30, 2026, Claude Fable 5.1 remains the latest officially documented Fable model. Fable represents Anthropic's highest-end model tier for demanding reasoning and long-horizon agentic work, while the newer Opus 5.5 and Sonnet 5.5 occupy lower-cost positions in the Claude lineup. Anthropic's current documentation gives Fable 5.1 a 1-million-token context window and maximum output length of 128,000 tokens. It supports text and image inputs with text output and uses adaptive thinking that remains active throughout model operation. Fable 5.1 defaults to high reasoning effort and is listed as having a June 2026 reliable knowledge cutoff and training-data cutoff. API pricing is $10 per million input tokens and $50 per million output tokens, while prompt-cache reads cost $0.25 per million tokens and Batch API processing receives a 50% input and output discount. Anthropic's official documentation currently provides model identifiers for Fable 5.1 across the Claude API, Amazon Bedrock, Google Cloud, Microsoft Foundry, and Claude Platform on AWS. No equivalent model identifier, specifications, benchmark results, pricing, availability information, or release schedule has been published for Claude Fable 5.5. -
19
Sita
Sita
Sita reduces AI expenditures by 30% and allows developers to save 25 hours each month through the automation of search and documentation processes. By transforming code, messages, and documentation into a comprehensive knowledge graph, it delivers only the pertinent information to your coding tools, resulting in a 32% reduction in input tokens. Furthermore, Sita ensures that your documentation remains current and facilitates the release of features at a speed that's 37% faster while also decreasing the number of bugs by 68%. The onboarding process is streamlined with premium support, taking just one hour. Notably, Sita is compatible with your existing tools and can enhance their capabilities using MCP or its own agent, making integration seamless and efficient. This innovative approach not only optimizes performance but also significantly improves overall productivity in development workflows. -
20
QVeris
QVeris AI
QVeris serves as an infrastructure for AI agents tailored for developers, focusing on MCP and skills-oriented agents. It offers a cohesive API that allows users to discover, access, and utilize over 10,000 real-world tools, APIs, and data resources, empowering LLMs and AI agents to analyze, fetch information, and perform real-world tasks efficiently and at scale. This innovative approach significantly enhances the capabilities and versatility of AI applications in various domains. -
21
CustomJS
CustomJS
CustomJS serves as a cutting-edge platform designed for streamlined automation workflows. It enables users to create PDFs from HTML templates, merge various documents, capture high-resolution screenshots, host HTML pages and forms, and manage incoming emails through Mailhooks. With CustomJS, the data gathered from forms or incoming emails can initiate workflows directly within n8n or Make, ensuring that automations are both efficient and seamless. The platform features a user-friendly form builder that aids in data collection, while Mailhooks facilitate the processing of email messages and their attachments without requiring additional infrastructure. Moreover, CustomJS offers lightweight static hosting suitable for landing pages, dashboards, or HTML tools generated by AI. By combining automated document creation and screenshot functionalities, it enhances the efficiency of reporting, invoicing, dashboards, and various other tasks that demand intensive workflows. Whether your needs include generating PDFs, processing emails, creating dynamic forms, or capturing automated screenshots, CustomJS significantly enriches your workflow platforms with its robust, ready-to-implement features, ultimately empowering users to optimize their operational processes. This versatility positions CustomJS as an indispensable tool for modern digital automation. -
22
Archonum
Archonum
Archonum is a browser automation infrastructure platform that lets users run scripts through real consumer smartphones instead of cloud browsers with proxy layers. The platform supports Playwright, Puppeteer, REST, curl, and MCP workflows, making it useful for scraping, AI agents, price intelligence, mobile-first data access, and geo comparison. Archonum runs Chrome for Android directly on a real phone, so the browser, IP, sensors, hardware, language, timezone, and network signals all come from the same device. This architecture is designed to avoid the mismatch that bot detection systems often find when a cloud browser uses a residential proxy. Users can route automation through 250,000+ smartphone nodes in 175+ countries and execute scripts with real device identities, exit IPs, and local context. The platform includes fleet execution so one script can run across many sessions in parallel, each with its own country and device fingerprint. Archonum also provides an MCP server with tools for rendered page reads, stateful sessions, login flows, cart or booking workflows, and country comparisons. Developers can point existing Playwright or Puppeteer scripts at Archonum through the gateway without learning a new SDK or rewriting their automation. By combining real mobile execution, residential device IPs, browser automation, MCP support, geo targeting, sticky sessions, and fleet-scale execution, Archonum helps teams reduce block rates and access web data more reliably.
