Using MCP with LangGraph agents
Anthropic's Model Context Protocol (MCP) is an open source protocol to connect LLMs with context, tools, and prompts. It has a growing number of "servers" for connecting to various tools or data sources. Here, we show how to connect any MCP server to LangGraph agents, and use MCP tools.
Repo:
https://github.com/langchain-ai/langchain-mcp-adapters
MCP servers:
https://github.com/modelcontextprotocol/servers
Learn how to build agents with LangGraph on LangChain Academy: https://academy.langchain.com/?utm_medium=social&utm_source=youtube&utm_campaign=q4-2025_youtube-academy-links_aw
Observe, evaluate, and deploy agents with LangSmith: https://smith.langchain.com/?utm_medium=social&utm_source=youtube&utm_campaign=q4-2025_youtube-links_aw
Timestamps:
00:00 - Introduction to Model Context Protocol
00:45 - Creating a Simple MCP Math Server
01:20 - Connecting MCP to LangGraph Agents
02:00 - Tool Execution and LangSmith Tracing
03:00 - Multi-Server Support and Model Flexibility
04:00 - MCP Architecture Overview
05:00 - Exploring the MCP Server Ecosystem
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Chapters (7)
Introduction to Model Context Protocol
0:45
Creating a Simple MCP Math Server
1:20
Connecting MCP to LangGraph Agents
2:00
Tool Execution and LangSmith Tracing
3:00
Multi-Server Support and Model Flexibility
4:00
MCP Architecture Overview
5:00
Exploring the MCP Server Ecosystem
🎓
Tutor Explanation
DeepCamp AI