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
MCP Compass is a discovery and recommendation service designed to help users find and utilize the right Model Context Protocol (MCP) servers through natural language queries and real-time updates. It acts as a smart guide for AI assistants, enabling them to discover and understand available MCP services based on user queries expressed in natural language. This makes it easier for users to identify and leverage the appropriate MCP tools for specific tasks. The service provides a rich set of metadata about each MCP server, ensuring users have detailed information to make informed decisions. MCP Compass supports real-time updates, keeping the list of MCP services current and relevant. It is designed for easy integration with any MCP-compatible AI assistant, allowing seamless addition of service discovery capabilities. Users can experience MCP Compass directly on the web, exploring MCP services with real-time recommendations and insights. The project offers a straightforward setup process, including cloning the repository or using npx for quick installation. It also provides configuration instructions for integrating with Claude Desktop, a popular AI assistant platform. MCP Compass is open-source under the MIT License, encouraging community contributions and support through issue reporting, feature requests, and documentation. Overall, MCP Compass enhances the usability and accessibility of MCP servers by providing an intelligent, user-friendly interface for discovery and recommendation, facilitating better utilization of AI services within the MCP ecosystem.
https://github.com/liuyoshio/mcp-compass
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.
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.
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.
World Monitor is an AI-powered, real-time global intelligence dashboard aggregating news and monitoring geopolitical and infrastructure data for unified situational awareness.
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.
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...
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...
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.