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🦜 🔗 LangChain MCP Client

@datalayer

リポジトリホームページ

🦜 🔗 LangChain MCP Client について

🦜🔗 LangChain Model Context Protocol (MCP) Client

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

基本情報

カテゴリ

AI とエージェント

ライセンス

NOASSERTION

ランタイム

jupyter notebook

トランスポート

stdio

公開者

datalayer

設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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).

コメント

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