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.
MCP Lab
@LPFerreira33
Basic information
About MCP Lab
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
MCP Lab config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-lab-lpferreira33": {
"command": "python",
"args": [
"-m",
"venv",
".venv"
]
}
}
}MCP Lab tools
Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
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
Frequently asked questions
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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