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
The TouchDesigner MCP project serves as a crucial bridge between AI models and the TouchDesigner WebServer DAT, allowing AI agents to interact with and control TouchDesigner environments. It provides a comprehensive set of tools for AI agents, including capabilities to create, modify, and delete nodes, query node properties, inspect project structure, and execute arbitrary Python scripts within TouchDesigner. This enables advanced automation and dynamic content generation driven by AI. Key features include tools like `create_td_node`, `delete_td_node`, `get_td_nodes`, `update_td_node_parameters`, and `execute_python_script`, along with prompts for searching nodes, managing connections, and checking for errors. The project also addresses version compatibility and connection troubleshooting, ensuring robust operation. Designed for developers and AI integrators, it offers a powerful framework for AI-driven visual programming and interactive media creation, fostering innovative applications in design, art, and real-time graphics.
https://github.com/8beeeaaat/touchdesigner-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.
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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.