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
After Effects MCP Server empowers AI assistants and other applications to programmatically control Adobe After Effects using the Model Context Protocol (MCP). It acts as a bridge, translating MCP commands into After Effects ExtendScript operations, allowing for advanced automation in motion graphics and video editing workflows. Key features include the ability to create and manage compositions with custom settings, comprehensive layer management (text, shape, solid, camera, null objects), and animation capabilities through keyframes and expressions. Users can create, modify, duplicate, and delete various layer types, setting their properties like position, scale, rotation, opacity, and even applying masks and blend modes. The server architecture leverages Node.js for its core logic and uses ExtendScript to interact with After Effects. Installation involves cloning the repository, installing Node.js dependencies, building the project, and then installing an After Effects panel that automatically listens for and executes commands. Configuration is straightforward, either via a `.mcp.json` file or manual client configuration. This tool is invaluable for developers looking to integrate After Effects into automated pipelines, build AI-powered content creation tools, or streamline repetitive tasks within the AE environment. It is particularly useful for agents that need to dynamically generate or modify visual content without direct human intervention.
https://github.com/Dakkshin/after-effects-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.