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
Anubis MCP is a Model Context Protocol SDK for Elixir, published on Hex as anubis_mcp, offering complete client and server implementations built on the concurrency and fault tolerance of the BEAM. On the server side, tools, prompts and resources are defined as components: a module uses Anubis.Server.Component with a declared type, describes its arguments through a schema block with field definitions including types, required flags, length limits and descriptions, and implements an execute callback that returns a response together with the request frame. Components can be registered statically at compile time with a component declaration inside a module that uses Anubis.Server, or dynamically at runtime through register_tool on the frame. The server is started as a child of the application supervisor with a transport option, and HTTP deployments forward a router path to Anubis.Server.Transport.StreamableHTTP.Plug, which works from a plain Plug router or a Phoenix router. The client side is also a supervised child, configured with a name, a transport such as streamable_http with a base URL, client info and a protocol version, after which Anubis.Client.call_tool invokes tools on a remote server. Version 1.x supports MCP specification versions 2024-11-05, 2025-03-26, 2025-06-18 and 2025-11-25; version 2.0 drops 2024-11-05 and removes the deprecated HTTP plus SSE transports on both client and server in favour of streamable HTTP. The project documents a deprecation policy mirroring the upstream specification, where deprecated features survive at least one minor cycle with a migration path and removals happen only in major releases. Three worked examples are included in the repository: a Plug based upcase server, a Phoenix based echo server and a Phoenix LiveView ascii server with a UI. The library is LGPL-v3 licensed with documentation on HexDocs.
https://github.com/zoedsoupe/anubis-mcp
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.