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MCP Lab

@LPFerreira33

リポジトリ

MCP Lab について

This repository contains a modular setup for experimenting with MCP in Python. It includes both a server and a client, as well as reusable tool modules.

#mcp-lab#modular-setup#python-experimentation

基本情報

カテゴリ

その他

ライセンス

MIT license

ランタイム

python

トランスポート

stdio

公開者

LPFerreira33

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "mcp-lab-lpferreira33": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        ".venv"
      ]
    }
  }
}

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 MCP Lab?

MCP Lab is a modular Python project for experimenting with the Model Context Protocol (MCP). It provides both an MCP server and client, along with reusable tool modules that are automatically registered by the server. It is intended for developers who want to explore or build MCP-based applications.

How to use MCP Lab?

Clone the repository, then set up and run the server by navigating to mcp_server, creating a virtual environment, installing dependencies with uv pip install -r requirements.txt, and running uv run server.py. For the client, navigate to mcp_client, similarly install dependencies, edit the .env file to match the server’s IP and port, then run python client.py.

Key features of MCP Lab

  • Modular Python setup for MCP experimentation
  • Includes both server and client implementations
  • Reusable tool modules are auto-registered
  • Easy to add custom tools as Python functions
  • Uses uv for fast dependency management
  • MIT licensed

Use cases of MCP Lab

  • Testing and prototyping MCP server-tool interactions
  • Learning how to build MCP servers with Python
  • Developing and debugging MCP clients
  • Experimenting with custom tool integrations

FAQ from MCP Lab

What does MCP Lab do?

MCP Lab provides a complete modular environment for experimenting with the Model Context Protocol in Python, including a server, client, and pluggable tool modules.

What runtime requirements does MCP Lab have?

It requires Python 3 with venv and uv installed. Dependencies are listed in requirements.txt files for both server and client.

How can I add my own tools to the server?

Create new Python functions inside the mcp_server/tools/ directory; they are automatically registered by the server.

Is a client included?

Yes, a client implementation is provided in the mcp_client/ directory, with its own setup and configuration.

How does the client connect to the server?

You must edit the .env file in the client directory to specify the server's IP address and port. The default values may need to be changed to match your setup.

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