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
ticktick-sdk is two things in one package: a full asynchronous Python client for the TickTick task manager, and an MCP server built on it. The SDK side covers the API surface — projects, tasks, subtasks, due dates, priorities and completion — with async methods and typed models, for people writing their own automation in Python. The MCP server side exposes the same operations as tools, so an assistant can list what is due, create tasks, reschedule them and mark them complete during a conversation. Dida365, the Chinese edition of TickTick, is supported by the same code, which matters because the two run on separate endpoints and account systems. Setup is the standard TickTick developer flow documented step by step: register an application, complete the OAuth2 exchange to obtain an access token, then configure the assistant with that token. It requires Python 3.11 or newer, is published on PyPI as ticktick-sdk and is MIT licensed. Packaging the client library and the MCP server together means the tool definitions stay in step with the API wrapper rather than drifting as separate projects. The audience is TickTick users who want an assistant managing their task list, and Python developers automating against TickTick who would also like the MCP surface without extra work.
https://github.com/dev-mirzabicer/ticktick-sdk
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.