MCP-Chinese-Getting-Started-Guide
★ 3.6k·Updated 2025-04-23
This guide provides a rapid introduction to the Model Context Protocol (MCP), an open-source protocol standardizing LLM interactions with external data and tools. It demonstrates building and debugging MCP servers, developing MCP clients for LLMs like DeepSeek, and integrating with Claude Desktop.
#MCP#LLM#Python#Tooling#AI Integration#Coding
01
Features
01Standardized Tool Integration
02Multiple Transport Protocols (stdio, SSE)
03Sampling/Tool Call Hooks
04Prompt Templating
05Resource Management
02
Compatibility
Claude Desktop
Supported
Verified via docs
DeepSeek API
Supported
Verified via docs
LangChain
Supported
Verified via docs
Python
Native
Verified via docs
uv
Supported
Verified via docs
03
Quick start
1
$ uv add "mcp[cli]" httpx openai
04
Use cases
↳Enhancing LLMs with real-time web search capabilities
↳Implementing human-in-the-loop validation for tool executions
↳Extending LLM clients with custom tools and resources
05
Alternatives
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A transparent, minimal, and hackable agent framework. ~300 lines of readable code. Full control, no magic.
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