LangChain MCP Client
Enables LangChain ReAct agents to utilize Model Context Protocol (MCP) server tools.
About
This Python-based client facilitates seamless integration between LangChain agents and MCP servers, allowing the agent to leverage a wide range of tools exposed through the Model Context Protocol. It uses the `langchain_mcp_tools` library to convert MCP server tools into a LangChain-compatible format. Supporting LLMs from Anthropic, OpenAI, and Groq, the client enables the agent to interact with various MCP server categories through tool invocations.
Key Features
- Supports JSON5 configuration with comments and variable substitution.
- Utilizes environment variables for secure API key management.
- Converts MCP server tools to LangChain-compatible tools.
- Uses a configuration file format similar to Claude for Desktop.
- Supports LLMs from Anthropic, OpenAI, and Groq.
- 4 GitHub stars
Use Cases
- Developing conversational AI applications that leverage context from various external sources.
- Automating tasks using LangChain agents with access to external tools via MCP.
- Integrating diverse MCP server functionalities into a single LangChain application.
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