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
appcypher/awesome-mcp-servers
The project "awesome-mcp-servers" is a curated list of Model Context Protocol (MCP) servers that facilitate secure interactions between AI models and various local and remote resources. MCP is an open protocol designed to standardize how AI models access and utilize contextual data and services, enhancing their capabilities across multiple domains. This repository compiles both production-ready and experimental MCP servers that extend AI functionalities through diverse means such as file system access, database connections, API integrations, and other contextual services. The README provides a comprehensive overview of MCP and lists numerous MCP servers categorized by their functionalities, including file systems, sandbox and virtualization, version control, cloud storage, databases, communication, monitoring, search and web, location services, marketing, note-taking, cloud platforms, workflow automation, system automation, social media, gaming, finance, research and data, AI services, development tools, data visualization, identity, aggregators, language and translation, security, IoT, and art and literature. Each category includes specific server implementations that enable AI models to interact with these resources securely and efficiently. Additionally, the project highlights examples of supported clients such as Claude Desktop, Zed Editor, Sourcegraph Cody, Continue, GPT Computer Assistant, LibreChat, Cursor, Enconvo, Goose, Nerve, MCP Router, mcp-use, WhatsMCP, and Visual Studio Code, demonstrating the broad adoption and integration of MCP servers in various AI and development environments. This repository serves as a valuable resource for developers and organizations looking to implement or explore MCP servers to enhance AI model capabilities by providing standardized, secure, and extensible access to a wide range of contextual data and services. It promotes interoperability and innovation in AI applications by leveraging the MCP standard.
https://github.com/appcypher/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.