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
jaw9c/awesome-remote-mcp-servers
The project "awesome-remote-mcp-servers" is a curated repository that provides a comprehensive list of high-quality remote Model Context Protocol (MCP) servers. It is designed to help developers discover reliable, secure, and production-ready MCP servers that can be accessed over the internet for AI applications. MCP is a protocol that enables AI models to interact with external tools and resources, and remote MCP servers facilitate secure connections to these services via the web. This repository emphasizes remote MCP servers only, highlighting their advantages such as enhanced security through trusted URLs and authentication, ease of use without the need for local installations, and compatibility with web-based clients. It categorizes servers by their domain, such as project management, software development, payments, customer support, and more, listing details like server URLs, authentication methods (OAuth 2.0, API Key, or open access), and maintainers. The project also explains the concept of Custom Integrations and Custom Connectors, which are branding terms used by Claude and OpenAI respectively for connecting to remote MCP servers. It provides guidance on how to use these servers either through MCP-ready clients or API requests to large language model providers. Quality criteria for inclusion in the list are stringent, focusing on official support, production readiness, active maintenance, security, reliability, and community engagement. The repository also offers a newsletter subscription for updates and additional resources for non-developers seeking custom integrations. Overall, this project serves as a valuable resource for developers looking to integrate AI models with external services securely and efficiently using the Model Context Protocol, facilitating easier discovery and adoption of remote MCP servers.
https://github.com/jaw9c/awesome-remote-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.