MCP Playground
概览
A comprehensive guide to learning and implementing Model Context Protocol (MCP) from fundamentals to production-ready applications. This repository is organized in a logical progression that takes you from MCP basics to advanced implementations: By the end of this tutorial, you'll have built a that demonstrates the full power of MCP + LangChain integration: Check out the 03 - LangChain Third-Party Integrations section! - Complete MCP crash course with hands-on examples - Understanding MCP concepts and architecture - Basic server and client implementations - : Dave Ebbelaar's AI Cookbook - Custom server implementations from scratch - HTTP, SSE, and STDIO transport methods - Tool definition and implementation patterns - NPX server integration and debugging - : Using LangChain agents as MCP clients - Tako MCP server for data visualization - Streamlit frontend development - Production deployment strategies - Real-world application patterns - : Third-party MCP servers with LangChain...
README
以下为原文 README 节选，完整内容请查看原文。
MCP Learning Journey
A comprehensive guide to learning and implementing Model Context Protocol (MCP) from fundamentals to production-ready applications.
Learning Path
This repository is organized in a logical progression that takes you from MCP basics to advanced implementations:
By the end of this tutorial, you’ll have built a Streamlit application that demonstrates the full power of MCP + LangChain integration:
Ready to build this? Check out the 03 - LangChain Third-Party Integrations section!
01 - MCP Fundamentals
Start here if you’re new to MCP
- Complete MCP crash course with hands-on examples
- Understanding MCP concepts and architecture
- Basic server and client implementations
- Source: Dave Ebbelaar’s AI Cookbook
02 - LangChain MCP Servers
Learn to build MCP servers with LangChain agents
- Custom server implementations from scratch
- HTTP, SSE, and STDIO transport methods
- Tool definition and implementation patterns
- NPX server integration and debugging
- LangChain Integration: Using LangChain agents as MCP clients
03 - LangChain Third-Party Integrations
Integrate production-ready MCP solutions with LangChain
- Tako MCP server for data visualization
- Streamlit frontend development
- Production deployment strategies
- Real-world application patterns
- LangChain Integration: Third-party MCP servers with LangChain agents
Quick Start
- Begin with fundamentals: Navigate to
01-mcp-fundamentals/ - Follow the numbered sequence: Each section builds upon the previous
- Hands-on learning: Execute code examples and build projects
- LangChain Integration: Learn to use MCP servers with LangChain agents
- Production ready: End with deployable MCP applications using LangChain
What You’ll Master
- MCP Architecture: Understanding the protocol and its components
- Server Development: Building custom MCP servers
- LangChain Integration: Using LangChain agents as MCP clients
- Tool Development: Creating and implementing MCP tools
- Production Deployment: Real-world MCP applications with LangChain
- Third-Party Integration: Using existing MCP solutions with LangChain agents
Prerequisites
- Python 3.8+ (recommended: Python 3.11+)
- Basic Python knowledge
- Understanding of APIs and web services
- Docker (for some advanced examples)
- Git (for cloning and version control)
- OpenAI API Key and Deployment Name (for LangChain integrations)
- Tako API Key (for data visualization examples in tako-mcp submodule)
Installation & Setup
-
Clone the repository:
git clone cd mcp -
Initialize submodules (Important!):
安装
This server does not publish a one-line install command.
Open the repository installation guide 新手？先看 mcpskill.org 教程 →