🦜 🔗 LangChain MCP Client

Name: 🦜 🔗 LangChain MCP Client
Author: datalayer

@datalayer

Repository Homepage

About 🦜 🔗 LangChain MCP Client

🦜🔗 LangChain Model Context Protocol (MCP) Client

#mcp #langchain #mcp-server #mcp-client

Basic information

Config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

Tools

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Overview

What is 🦜 🔗 LangChain MCP Client?

A simple model context protocol client that demonstrates the use of MCP server tools by a LangChain ReAct agent. It seamlessly connects to any MCP servers, supports any LangChain-compatible LLM for flexible model selection, and offers a CLI for dynamic interactions.

How to use 🦜 🔗 LangChain MCP Client?

Install with pip install langchain_mcp_client (Python 3.11+). Create a .env file with API keys for your LLM and configure llm_mcp_config.json5 with your LLM parameters, MCP servers, and optional example queries. Then launch the CLI (e.g., make cli or the appropriate command for your operating system).

Key features of 🦜 🔗 LangChain MCP Client

Converts MCP tools into LangChain-compatible List[BaseTool].
Supports parallel initialization of multiple MCP servers.
Works with any LangChain-compatible LLM.
CLI-based dynamic conversation interface.
Example queries can be provided in the config file.

Use cases of 🦜 🔗 LangChain MCP Client

Letting a LangChain agent use tools from external MCP servers.
Querying a Jupyter MCP server to create notebooks and visualizations.
Combining multiple MCP services through natural language prompts.

FAQ from 🦜 🔗 LangChain MCP Client

What Python version is required?

Python 3.11 or higher.

How do I configure the client?

Create a .env file with your LLM API keys and a llm_mcp_config.json5 file that specifies the LLM, MCP servers, and optional example queries.

Can I use any LLM with this client?

Yes, any LangChain-compatible LLM can be used.

How do I run the client after configuration?

Launch the CLI — the README shows examples using make cli (commands may vary by OS).

Comments

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