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
mahdin75/gis-mcp
GIS MCP Server is a Model Context Protocol server that adds geospatial analysis capabilities to chat assistants and AI agents. It is published on PyPI as gis-mcp and can also be run from a Docker image, and it supports both stdio and HTTP transports so it can be launched locally by an MCP host or reached over the network. Beyond geometry and projection operations, the project documents a data gathering layer covering several categories of public geospatial data: climate data, biodiversity and ecology data, land cover, movement data, satellite imagery and administrative boundaries, so a model can pull a dataset and analyse it in the same conversation. Storage is configurable, with a local filesystem backend and a Google Cloud Storage backend for outputs and intermediate artefacts, which matters because geospatial results are often files rather than short text answers. The documentation site at gis-mcp.com carries installation guides, storage configuration, and per source pages for each data category. Two agent integration examples are maintained: a LangChain based geospatial agent in Python and an OpenAI agent in Node.js, both showing how to wire the server into an agent loop rather than only a chat client. The repository runs a test workflow in CI and maintains a Discord community, a YouTube tutorial channel and a DeepWiki page. The intended users are analysts, researchers and developers who want an assistant to perform accurate spatial computation and dataset retrieval instead of approximating it in prose, and developers building domain specific geospatial agents on top of a ready made tool surface. Because the README body is largely badges and links, the feature list above reflects the categories the project advertises rather than a full tool by tool inventory.
https://github.com/mahdin75/gis-mcp
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.