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
The project "Awesome MCP Servers" is a curated, community-driven list dedicated to Model Context Protocol (MCP) servers, tools, frameworks, clients, and utilities. MCP is an open protocol designed to enable AI models to securely interact with local and remote resources through standardized server implementations. This repository serves as a comprehensive resource for anyone interested in MCP by providing categorized listings of production-ready and experimental MCP servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services. The repository includes a wide range of MCP server implementations categorized by their functionalities such as 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, art and literature, e-commerce, data platforms, and robotics and physical AI. It also highlights official protocol implementations and provides reference servers and core SDK examples demonstrating MCP features. Additionally, the project offers tutorials, community links including Reddit and Discord, and a security warning emphasizing the risks of running MCP servers without proper sandboxing. It encourages best practices such as using official implementations, running servers in isolated environments, reviewing code, limiting permissions, and monitoring server activity. The repository also provides tools and utilities for discovering, installing, managing, and working with MCP servers, including CLI tools and frameworks for secure enterprise MCP tools. It supports multiple languages for documentation and calls for translators to help make the specification accessible to a broader audience. Overall, this project is an essential hub for developers, researchers, and enthusiasts working with the Model Context Protocol, offering a centralized and organized collection of resources to facilitate the adoption and development of MCP servers and related technologies.
https://github.com/YuzeHao2023/Awesome-MCP-Servers
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.