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
wong2/awesome-mcp-servers
The project "awesome-mcp-servers" is a curated list of Model Context Protocol (MCP) servers that showcases both reference implementations and official production-ready integrations for a wide range of AI-powered applications. MCP is a protocol designed to enable AI agents and tools to interact with various data sources, services, and platforms in a standardized way. This repository serves as a comprehensive resource for developers and organizations looking to explore or implement MCP servers. The repository categorizes MCP servers into two main groups: Reference Servers and Official Servers. Reference Servers demonstrate core MCP features and provide examples using TypeScript and Python SDKs. These include servers for web content fetching, secure file operations, Git repository manipulation, knowledge graph-based memory systems, dynamic problem-solving, and time conversion functionalities. Official Servers are maintained by companies and organizations that build production-ready MCP servers tailored for their platforms. These servers cover a broad spectrum of applications such as UI component creation, payment processing, AI agent data extraction, project management, cloud service navigation, API interface calls, blockchain interactions, marketing insights, AWS service integrations, log and event data analysis, on-chain data querying, content management, web automation, testing platforms, feature flag management, and more. The project also highlights sponsorship by Bright Data, emphasizing reliable and scalable web data access through MCP. The repository acts as a centralized hub for discovering MCP servers that facilitate AI integration with diverse services, enhancing the capabilities of AI agents by providing structured access to external data and tools. Overall, "awesome-mcp-servers" is an essential resource for the MCP community, offering a curated and organized collection of MCP server implementations that support the development and deployment of intelligent AI applications across various domains.
https://github.com/wong2/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.