LangSmith Deployment: MCP Support For Your LangGraph Agents
Note: LangGraph Platform is now LangSmith Deployment.
In this video, we'll show how LangSmith Deployment integrates with MCP (Model Context Protocol). This enables every LangGraph agent to function as an MCP server instantly -- no custom code or infrastructure needed.
You'll learn how our built-in MCP support allows developers to deploy and connect LangGraph agents using MCP's streamable HTTP spec, making integration with compatible clients seamless and fast.
Overview
00:00 Intro
00:20 MCP Overview
01:02 LangChain & MCP
01:21 Creating a New Deployment
02:37 API URL & MCP Docs
03:39 Configuring Your MCP Client
04:02 Native Tracing Support
04:38 Multi-Agent Support
05:40 Outro
Resources
- LangSmith Deployment MCP Adapter: https://langchain-ai.github.io/langgraph/concepts/server-mcp/
- MCP Streamable HTTP Spec: https://modelcontextprotocol.io/specification/2025-03-26/basic/transports#streamable-http
- LangGraph Documentation: https://langchain-ai.github.io/langgraph/
Whether you're a developer aiming for rapid prototyping or an enterprise seeking scalable AI solutions, LangSmith Deployment's native MCP support offers a streamlined path to leveraging deployed intelligent agents in minutes.
#LangGraph #MCP #LangGraphPlatform #LangChain #LLM #AIAgents #MachineLearning #ArtificialIntelligence #DevTools
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Chapters (9)
Intro
0:20
MCP Overview
1:02
LangChain & MCP
1:21
Creating a New Deployment
2:37
API URL & MCP Docs
3:39
Configuring Your MCP Client
4:02
Native Tracing Support
4:38
Multi-Agent Support
5:40
Outro
🎓
Tutor Explanation
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