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The official Python SDK for Model Context Protocol (MCP), enabling developers to build custom MCP servers and clients to extend AI agent capabilities.

mcp-use

mcp-use

This TypeScript framework allows developers to build, test, and deploy MCP servers and apps for AI agents like ChatGPT and Claude with full typing and debugging.

This framework helps build effective and robust AI agents using the Model Context Protocol, offering full MCP support and composable agent patterns.

Klavis AI provides MCP integration platforms and SDKs to enable AI agents to reliably use tools and access various integrations, optimizing context windows.

Acts as an AI gateway, registry, and proxy to unify and manage various AI agents, tools, and APIs, optimizing agent workflows and supporting plugins.

A proxy tool that converts between different Model Context Protocol (MCP) server communication transports, like stdio and SSE/StreamableHTTP.

This MCP proxy aggregates multiple MCP servers into a unified one, allowing AI agents to interact with them through a single endpoint and apply middlewares.

Integrates MCP servers into the Neovim editing workflow as an MCP client, allowing users to manage, test, and use MCP servers with chat plugins.

mcptools

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MCP Tools is a versatile command-line interface for discovering, calling, and managing tools, resources, and prompts from any MCP-compatible server.

This plug-and-play library enables AI agents to call MCP and UTCP tools more efficiently via code execution, reducing costs and iterations.

This token-efficient MCP adapter enhances the Pi coding agent's interaction with MCP servers, saving tokens and managing server instances dynamically.

Provides a self-hosted MCP gateway to manage and consolidate multiple MCP servers, offering a single endpoint for AI clients and agents.

This Python framework enables developers to build custom MCP servers and tools with features like authorized tool calling and secure secret management.

An MCP proxy server that aggregates and serves multiple MCP resource servers through a single HTTP entrypoint, supporting various client types and OAuth.

Securely connect your local or private MCP servers to ChatGPT and other agents without opening public internet ports.