GitMCP instantly creates an **MCP server** for any GitHub repository, enabling AI assistants to understand your code context via the **Model Context Protocol**. Simply change the domain to `gitmcp.io` for enhanced **AI model integration** and more accurate coding assistance.

FastAPI-MCP is an open-source **MCP tool** that automatically converts your existing FastAPI endpoints into **MCP tools**. Seamlessly integrate your Python APIs with AI models and agents using the **Model Context Protocol** with minimal configuration.

`mcp-use` is an open-source **MCP Client** library enabling developers to connect any LLM to any **MCP server**. Build custom agents and avoid vendor lock-in with this flexible **AI model integration** tool.

**jupyter-mcp-server** is an **MCP Server** enabling AI models to interact with Jupyter notebooks. Execute code and add markdown cells directly from AI clients like Claude Desktop for enhanced **AI model integration** and workflow automation.

k8m: An AI-driven Kubernetes dashboard and MCP Server. Simplify cluster management with integrated AI and empower LLMs via 49+ built-in MCP tools for secure, multi-cluster Kubernetes operations.

`mcp-ipfs` is an **MCP Server** bridging AI models and clients with **IPFS storage** on **storacha.network**. It seamlessly integrates the **`w3` CLI** for managing spaces, data, and delegations via the Model Context Protocol.

GitHub's official **MCP Server**, `github-mcp-server`, connects AI models to GitHub APIs via the **Model Context Protocol**. Automate workflows, manage repositories, and interact with GitHub data using standardized **MCP tools** and resources for enhanced developer productivity.

Automate Python function/class registration to FastMCP for AI model integration. Simplifies configuration & boosts efficiency.

Upsonic: A reliable AI agent framework with MCP support for building trusted, production-ready AI solutions.

MCP-Bridge: Seamlessly connect OpenAI API to MCP tools. Simplify AI model integration with any client.

MCP-Connect: Bridge cloud AI with local MCP servers via HTTP. Secure, flexible, and easy to use.

MCPHost: CLI client for LLMs to interact with external tools via MCP, supporting Claude and Ollama.