Python MCP Server Template

py-mcp-server-template

This repository is a template to help you create your own MCP (Model Context Protocol) servers in Python. Fork this repository to get started.

Setup with uv

This project uses uv for Python packaging and virtual environment management. If you don't have uv installed, please refer to the official uv installation guide.

1. Clone your forked repository:
   git clone https://github.com/YOUR_USERNAME/YOUR_REPOSITORY_NAME.git cd YOUR_REPOSITORY_NAME
2. Create and activate the virtual environment: uv typically creates a .venv directory in your project root.
   uv venv source .venv/bin/activate # On macOS/Linux # .venv\Scripts\activate # On Windows
3. Install dependencies: This project uses pyproject.toml to manage dependencies.
   uv pip install .
   If you add new dependencies, define them in your pyproject.toml file and run this command again. If you are using a requirements.txt file for some reason, you can install it with uv pip install -r requirements.txt.

Running the Server

The mcp_server.py script starts the MCP server.

To run the server directly:

Integrating with Claude Desktop or Cursor

To use this MCP server with an application like Claude Desktop or Cursor, you'll need to configure it in the application's settings. The configuration will typically involve specifying the command to run your server.

Here's an example configuration snippet. You'll need to replace /ABSOLUTE/PATH/TO/PARENT/FOLDER/YOUR_REPOSITORY_NAME with the actual absolute path to your project directory on your system.

Explanation of the configuration:

• "my-custom-python-server": This is a name you give to your server configuration.
• "command": "uv": Specifies uv as the command to execute.
• "args": A list of arguments for the uv command:
  • "run": Tells uv to execute a command within its managed environment.
  • "--python": Specifies the Python interpreter to use. It's important to point this to the Python interpreter inside your uv virtual environment (.venv/bin/python).
  • "/ABSOLUTE/PATH/TO/PARENT/FOLDER/YOUR_REPOSITORY_NAME/mcp_server.py": The absolute path to your server script.
• "workingDirectory": Specifies the working directory for the server process, which should be your project's root directory.

Important:

• Ensure the paths in the args and workingDirectory are correct for your system.
• If the application cannot locate uv, you might need to specify its full path in the "command" field. You can typically find this path by running which uv in your terminal on macOS or Linux, or where uv on Windows.
• The server listens on stdio by default as configured in mcp_server.py (mcp.run(transport='stdio')), which is typically what applications like Cursor expect.

After configuring, the application should be able to communicate with your Python MCP server.