入门攻略
MCP提交
探索
Model Context Protocol (mcp) Implementation In Go
概述
内容详情
替代品
What is MCP Server?
The MCP Server is a backend service that implements the Model Context Protocol to provide contextual information, tools, prompts, and resources to LLM-powered applications. It acts as a knowledge and capability extension for AI models.How to use MCP Server?
Applications can interact with the MCP Server using JSON-RPC calls to access its various capabilities. You'll need a client implementation (like the provided Go client) to connect and make requests.Use Cases
Ideal for AI applications that need: dynamic context retrieval, access to external tools, prompt management, or resource sharing between components.Key Features
Resource ManagementAccess and manage files, documents and other data resources stored on the server
Tool IntegrationCall external functions and tools through standardized interfaces
Prompt TemplatesStore and retrieve pre-defined prompt templates with variable substitution
Filesystem RootsAccess different data roots and virtual filesystems on the server
Pros and Cons
Advantages
Standardized interface for LLM context management
Decouples AI models from specific tools/resources
Supports multiple content types (text, images, etc.)
Language-agnostic JSON-RPC protocol
Limitations
Requires client implementation for each language
JSON-RPC may have performance overhead for large data
No built-in authentication in base protocol
Getting Started
Set up the serverInstall and configure the MCP server with your desired resources and tools
Create a clientInitialize a client connection to the server
Initialize connectionRegister your client's capabilities with the server
Start making requestsUse the client methods to interact with server resources and tools
Example Use Cases
Document RetrievalAn AI assistant retrieving relevant documents to answer user questions
Weather LookupUsing a tool to get current weather for location-based responses
Prompt TemplatingGetting a standardized system prompt with dynamic values
Frequently Asked Questions
1
What programming languages can use MCP?Any language that can make HTTP requests and handle JSON. Official clients are available in Go, with others coming soon.
2
How is MCP different from a regular API?MCP provides a standardized protocol specifically designed for LLM context management, with built-in support for resources, tools and prompts.
3
Can I use MCP with my existing AI models?Yes, MCP is model-agnostic and can enhance any LLM by providing additional context and capabilities.
4
Is there authentication support?The base protocol doesn't specify authentication, but you can implement it at the transport level (HTTPS) or application level.
Additional Resources
MCP SpecificationOfficial protocol specification and schema
Go Client RepositorySource code for the Go client implementation
MCP Introduction VideoVideo introduction to MCP concepts
精选MCP服务推荐

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。
TypeScript
2,956
5分

Duckduckgo MCP Server
已认证
DuckDuckGo搜索MCP服务器,为Claude等LLM提供网页搜索和内容抓取服务
Python
212
4.3分

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。
TypeScript
6,102
4.5分

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
TypeScript
88
4.8分

Context7
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。
TypeScript
4,852
4.7分

Baidu Map
已认证
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。
Python
323
4.5分

Exa Web Search
已认证
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。
TypeScript
1,429
5分

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。
Python
364
4.8分