langchain-mcp-adapters and mcp-langgraph

These are complements: the official LangChain MCP adapters provide the integration layer enabling LangChain/LangGraph applications to connect to MCP servers, while the tutorial demonstrates a practical example of building a LangGraph agent that uses those adapters with MCP servers.

langchain-mcp-adapters

Verified

mcp-langgraph

Experimental

Maintenance 20/25

Adoption 25/25

Maturity 25/25

Community 21/25

Maintenance 2/25

Adoption 5/25

Maturity 1/25

Community 15/25

Stars: 3,411

Forks: 379

Downloads: 6,540,532

Commits (30d): 18

Language: Python

License: MIT

Stars: 12

Forks: 5

Downloads: —

Commits (30d): 0

Language: Python

License: —

No risk flags

No License Stale 6m No Package No Dependents

About langchain-mcp-adapters

langchain-ai/langchain-mcp-adapters

LangChain 🔌 MCP

Bridges Anthropic's Model Context Protocol (MCP) servers with LangChain/LangGraph by converting MCP tools into LangChain-compatible tools, supporting multiple transport types (stdio, HTTP, streamable HTTP, SSE) and server connections simultaneously. Provides a `MultiServerMCPClient` for managing multiple MCP servers and runtime authentication headers, enabling agentic workflows to access distributed tool ecosystems.

About mcp-langgraph

hirokiyn/mcp-langgraph

LangGraph agent tutorial adapted to use MCP servers.

Related comparisons

langchain-mcp-adapters and langchain-mcp-tools-py langchain-mcp-adapters and lc2mcp langchain-mcp-adapters and langchain-mcp-client langchain-mcp-adapters and langchain-mcp-client langchain-mcp-adapters and mcp-client-langchain-py langchain-mcp-adapters and langchain-mcp-tools-ts-usage

Scores updated daily from GitHub, PyPI, and npm data. How scores work