2025 年最佳 MCP 框架

A Solana Agent Kit implementation using the Model Context Protocol (MCP) for handling protocol operations on the Solana blockchain.

Build effective agents using Model Context Protocol and simple workflow patterns

Template to quickly set up your own MCP server

A simple TypeScript library for creating MCP servers.

AbletonMCP connects Ableton Live to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Ableton Live. This integration enables prompt-assisted music production, track creation, and Live session manipulation.

Build MCP Servers Declaratively in Golang

Anthropic’s Model Context Protocol implementation for Oat++

AI-Powered API Generation from Your Data for LLMs and Agents

Genkit MCP allows Genkit developers to both consume MCP tools, prompts, and resources as a client and provide tools and prompts as a server.

A framework for writing modelcontextprotocol (MCP) servers in Typescript

The most reliable AI agent framework that supports MCP.

CodeMirror extension to hook up a Model Context Provider (MCP)

Java SDK for the Model Context Protocol (MCP), providing seamless integration between Java and Spring applications and MCP-compliant AI models and tools.

A C# SDK implementation of the Model Context Protocol (MCP).

Model Context Protocol tool support for LangChain

Write Model Context Protocol servers in few lines of go code. Docs at https://mcpgolang.com

Model Context Protocol (MCP) CLI server template for Rust

A Go implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools.

A TypeScript framework for building MCP servers elegantly

Foxy contexts is a library for building context servers supporting Model Context Protocol

A TypeScript framework for building MCP servers.

The fast, Pythonic way to build Model Context Protocol servers 🚀

This extension enables developers to implement the MCP server features easily.

A Scala library implementing the Model Context Protocol to enable interoperable communication between AI models and services. This library provides a fluent API for constructing and sending model context requests, and handles serialization/deserialization to/from JSON.

http4k MCP Desktop Client

An open source framework for building AI-powered apps with familiar code-centric patterns. Genkit makes it easy to develop, integrate, and test AI features with observability and evaluations. Genkit works with various models and platforms.