MCP tool access to MarkItDown -- a library that converts many file formats (local or remote) to Markdown for LLM consumption.
BlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.
Provide coding agents direct access to Figma data to help them one-shot design implementation.
Web search capabilities using Brave's Search API
Discovery, exploration, reporting and root cause analysis using all observability data, including metrics, logs, systems, containers, processes, and network connections
GitHub API integration for repository management, PRs, issues, and more
Efficient web content fetching and processing for AI consumption
browser-use packaged as an MCP server with SSE transport. includes a dockerfile to run chromium in docker + a vnc server.
Knowledge graph-based persistent memory system for maintaining context
Direct local file system access.
Run Python code in a secure sandbox via MCP tool calls
Memory manager for AI apps and Agents using various graph and vector stores and allowing ingestion from 30+ data sources
Crawl, embed, chunk, search, and retrieve information from datasets through [Trieve](https://trieve.ai)
🎖️ 🦀 🏠 🍎 Local-first system capturing screen/audio with timestamped indexing, SQL/embedding storage, semantic search, LLM-powered history analysis, and event-triggered actions - enables building context-aware AI agents through a NextJS plugin ecosystem.
Gives LLMs the ability to manage Prisma Postgres databases (e.g. spin up new database instances or run schema migrations).
No, MCP Index is an independent directory. We list publicly available MCP server implementations from GitHub and the open-source community. Each server should be evaluated based on your specific needs and requirements.
We regularly monitor GitHub repositories and the MCP community to keep our listings up-to-date with new server implementations and updates to existing ones.
MCP Index helps you discover MCP servers that can enhance your AI applications. You can browse our listings to find servers that integrate with popular AI tools like Claude, Cursor, and Cline. These servers extend your AI agents' capabilities by providing additional context and functionalities.
An MCP server implements the Model Context Protocol, which enables AI applications to maintain context and share information across different platforms and tools. It serves as a standardized way to handle context management in AI applications.
MCP Index is a curated directory that lists available Model Context Protocol (MCP) servers from the open-source community, helping developers discover and choose suitable MCP implementations for their projects.
Yes, we will soon launch a submission system where developers can submit their MCP server implementations for listing on our platform. This will help increase visibility for your project within the MCP community.
Yes, MCP Index is a free resource for the AI developer community to discover and learn about available MCP server implementations.
