Awesome MCP

Awesome MCP

这是一个关于Model Context Protocol（MCP）生态系统的精选资源列表，涵盖了官方资源、开发工具、MCP服务器、Web集成、数据库、区块链、AI集成、语音、移动应用、开发环境、安全测试、生产力工具和系统工具等多个类别。

人工智能聊天机器人开发者工具 #开发工具 #服务器 #AI集成 #安全测试

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更新时间 : 2025-04-29

What is MCP?

The Model Context Protocol (MCP) is a framework that enables seamless integration of AI models with different applications, databases, and services. MCP servers act as intermediaries that facilitate communication between AI models and other systems.

How to use MCP Servers?

MCP servers can be deployed locally or in the cloud, and connected to your applications through SDKs or APIs. They handle model inference, context management, and data transformation between systems.

Use Cases

MCP servers are ideal for: AI-powered applications, database integrations, web services, mobile apps, and any system that needs to leverage AI models with contextual awareness.

Key Features

Model IntegrationEasily connect various AI models to your applications

Context ManagementMaintain and manage conversation or task context across interactions

Multi-Platform SupportWorks with web, mobile, databases, and other systems

ScalabilityHandle multiple concurrent requests and scale as needed

Pros and Cons

Advantages

Simplifies AI model integration

Reduces development time for AI features

Standardized interface for different models

Flexible deployment options

Limitations

Requires additional infrastructure

Potential latency in model responses

Learning curve for new users

Getting Started

Choose a Server

Select an MCP server implementation that fits your needs from the available options

Deploy the Server

Set up the server locally or in your cloud environment

Connect Your Application

Use the appropriate SDK or API to connect your application to the MCP server

Configure Models

Set up the AI models you want to use through the server configuration

Example Use Cases

Database IntegrationUse an MCP server to add natural language query capabilities to your database

Chat ApplicationPower a chat interface with multiple AI models through an MCP server

Frequently Asked Questions

What programming languages are supported?

Can I use multiple models with one server?

Is there a hosted MCP service available?

Additional Resources

Official MCP Documentation

The official documentation and reference implementation

MCP Community Forum

Community discussions and support

Getting Started Guide

Tutorial for setting up your first MCP server

精选MCP服务推荐

Figma Context MCP

Framelink Figma MCP Server是一个为AI编程工具（如Cursor）提供Figma设计数据访问的服务器，通过简化Figma API响应，帮助AI更准确地实现设计到代码的一键转换。

Duckduckgo MCP Server

DuckDuckGo搜索MCP服务器，为Claude等LLM提供网页搜索和内容抓取服务

Firecrawl MCP Server

Firecrawl MCP Server是一个集成Firecrawl网页抓取能力的模型上下文协议服务器，提供丰富的网页抓取、搜索和内容提取功能。

百度地图MCP Server是国内首个兼容MCP协议的地图服务，提供地理编码、路线规划等10个标准化API接口，支持Python和Typescript快速接入，赋能智能体实现地图相关功能。

Edgeone Pages MCP Server

EdgeOne Pages MCP是一个通过MCP协议快速部署HTML内容到EdgeOne Pages并获取公开URL的服务

Exa MCP Server是一个为AI助手（如Claude）提供网络搜索功能的服务器，通过Exa AI搜索API实现实时、安全的网络信息获取。

Minimax MCP Server

MiniMax Model Context Protocol (MCP) 是一个官方服务器，支持与强大的文本转语音、视频/图像生成API交互，适用于多种客户端工具如Claude Desktop、Cursor等。

Context7 MCP是一个为AI编程助手提供实时、版本特定文档和代码示例的服务，通过Model Context Protocol直接集成到提示中，解决LLM使用过时信息的问题。

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