by langchain-ai · MCP Server · ★ 3.5k
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LangChain MCP Adapters This library provides a lightweight wrapper that makes Anthropic Model Context Protocol (MCP) tools compatible with LangChain and LangGraph. [!note] A JavaScript/TypeScript version of this library is also available at langchainjs. Features 🛠️ Convert MCP tools into LangChain tools that can be used with LangGraph agents 📦 A client implementation that allows you to connect to multiple MCP servers and load tools from them Installation Quickstart Here is a simple example of using the MCP tools with a LangGraph agent. Server First, let's create an MCP server that can add and multiply numbers. python mathserver.py from mcp.server.fastmcp import FastMCP mcp = FastMCP("Math") @mcp.tool() def add(a: int, b: int) - int: """Add two numbers""" return a + b @mcp.tool() def multiply(a: int, b: int) - int: """Multiply two numbers""" return a b if name == "main": mcp.run(transport="stdio")
| Stars | 3,495 |
| Forks | 416 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 50.118/100 |
| Open Issues | 73 |
| Last Updated | 2026-04-22 |
| Created | 2025-02-07 |
| Platforms | mcp, python |
| Est. Tokens | ~106k |
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langchain-mcp-adapters is LangChain 🔌 MCP. It is categorized as a MCP Server with 3.5k GitHub stars.
langchain-mcp-adapters is primarily written in Python. It covers topics such as langchain, langgraph, mcp.
You can find installation instructions and usage details in the langchain-mcp-adapters GitHub repository at github.com/langchain-ai/langchain-mcp-adapters. The project has 3.5k stars and 416 forks, indicating an active community.
langchain-mcp-adapters is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to langchain-mcp-adapters on Agent Skills Hub include DeepMCPAgent, mcp-context-forge, generative-ai. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.