microsoft/markitdown
MarkItDown is a Python tool that converts various file formats into Markdown and integrates with LLM applications via an MCP server for enhanced text analysis and document processing.
Awesome MCP › Other MCP Servers
TensorBlock/awesome-mcp-servers
The project "awesome-mcp-servers" by TensorBlock is a comprehensive curated collection of Model Context Protocol (MCP) servers, categorized by their functionality. MCP is an open protocol designed to standardize how applications provide context to language models, enabling secure and standardized integration with external tools, databases, APIs, filesystems, and more. This repository serves as a centralized resource for discovering MCP servers that facilitate various integrations and functionalities across multiple domains. The repository currently includes coverage for over 7,260 MCP servers as of May 30, 2025, with the most recent 30 servers displayed in each category for brevity. The servers are organized into diverse categories such as AI & LLM Integration, Art, Culture & Media, Browser Automation & Web Scraping, Build & Deployment Tools, Cloud Platforms & Services, Code Analysis & Quality, Code Execution, Communication & Messaging, Content Management Systems, Data Analysis & Business Intelligence, Databases, Developer Productivity & Utilities, Filesystems, Finance & Crypto, Frameworks, Gaming, Hardware & IoT, Healthcare & Life Sciences, Infrastructure, Knowledge Management & Memory, Location & Maps, Marketing, Sales & CRM, Monitoring & Observability, Multimedia Processing, Operating System & Command Line, Project & Task Management, Science & Research, Search, Security, Social Media & Content Platforms, Travel & Transportation, Utilities & Helpers, Version Control, and Sport. Each category links to detailed documentation and lists of MCP servers that provide specific functionalities, such as AI model integrations, weather data retrieval, stock information, Jira ticket management, and more. The project also encourages community engagement through Discord, Twitter, Telegram, and Hugging Face, fostering collaboration and knowledge sharing around MCP technology. Overall, this repository is an invaluable resource for developers and organizations looking to leverage the Model Context Protocol to enhance language model capabilities by connecting them securely and efficiently to a wide range of external services and data sources.
https://github.com/TensorBlock/awesome-mcp-servers
Also in Other MCP Servers
punkpeye/awesome-mcp-servers
A curated collection of Model Context Protocol (MCP) servers that enable AI models to securely interact with local and remote resources through standardized server implementations.
modelcontextprotocol/servers
The Model Context Protocol Servers repository offers reference implementations and third-party integrations that demonstrate how MCP enables Large Language Models to securely access and interact with diverse tools and data sources.
koala73/worldmonitor
World Monitor is an AI-powered, real-time global intelligence dashboard aggregating news and monitoring geopolitical and infrastructure data for unified situational awareness.
headroomlabs-ai/headroom
Headroom is a context compression layer for AI agents, reducing token usage by 60-95% while preserving accuracy, implemented as a library, proxy, and MCP server.
diegosouzapw/OmniRoute
OmniRoute is a free AI gateway that connects various AI tools and models from over 230 providers through a single endpoint, featuring token compression, smart auto-fallback, and support for Model C...
rohitg00/ai-engineering-from-scratch
This comprehensive curriculum teaches AI engineering from scratch, focusing on building AI algorithms, agents, and MCP servers hands-on, covering everything from mathematical foundations to autonom...
every-app/open-seo
Open source, self-hostable SEO platform that exposes its keyword, rank, backlink and site-audit data to AI agents through an MCP server and a set of companion agent skills.