
Read Complete Medium Article here : Building an AI Agent with Model Context Protocol (MCP): A Complete Guide
概览
Read Complete Medium Article here : Building an AI Agent with Model Context Protocol (MCP): A Complete Guide This project demonstrates a complete implementation of the with an intelligent agent built using and . The system enables AI applications to seamlessly interact with external tools through a standardized protocol. is an open protocol that standardizes how applications provide context to Large Language Models (LLMs). Think of it as a universal adapter that allows AI applications to: - 🔌 Connect to external data sources and tools - 🛠️ Execute actions in a standardized way - 🔄 Maintain consistent communication patterns - 🌐 Enable tool interoperability across different AI systems 1. : Exposes tools/capabilities that can be called by clients 2. : Consumes tools from MCP servers 3. : Communication standard for request/response patterns 4. : Individual capabilities exposed by the server (e.g.
README
以下为原文 README 节选,完整内容请查看原文。
MCP Server with LangGraph Agent
Read Complete Medium Article here : Building an AI Agent with Model Context Protocol (MCP): A Complete Guide
📖 Overview
This project demonstrates a complete implementation of the Model Context Protocol (MCP) with an intelligent agent built using LangGraph and OpenAI. The system enables AI applications to seamlessly interact with external tools through a standardized protocol.
🧩 What is MCP (Model Context Protocol)?
Model Context Protocol (MCP) is an open protocol that standardizes how applications provide context to Large Language Models (LLMs). Think of it as a universal adapter that allows AI applications to:
- 🔌 Connect to external data sources and tools
- 🛠️ Execute actions in a standardized way
- 🔄 Maintain consistent communication patterns
- 🌐 Enable tool interoperability across different AI systems
Key Concepts
- MCP Server: Exposes tools/capabilities that can be called by clients
- MCP Client: Consumes tools from MCP servers
- JSON-RPC Protocol: Communication standard for request/response patterns
- Tools: Individual capabilities exposed by the server (e.g., weather, web search)
🏗️ Architecture
┌─────────────────────────────────────────────────────────────┐
│ USER INPUT │
│ "What's the weather in Mumbai?" │
└──────────────────────┬──────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────┐
│ LANGGRAPH AGENT │
│ ┌──────────────┐ ┌──────────────┐ │
│ │ Routing │────────▶│ Response │ │
│ │ Node │ │ Node │ │
│ └──────┬───────┘ └──────────────┘ │
│ │ │
│ │ Uses OpenAI to determine: │
│ │ - Which tool to use │
│ │ - Extract parameters │
└─────────┼─────────────────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────┐
│ MCP CLIENT │
│ - Manages connection to MCP server │
│ - Sends JSON-RPC requests │
│ - Receives and processes responses │
└──────────────────────┬──────────────────────────────────────┘
│
│ JSON-RPC over STDIO
│
▼
┌─────────────────────────────────────────────────────────────┐
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 →