Python FastMCP Server

This is a Python-based Model Context Protocol (MCP) server built using the FastMCP framework. It demonstrates how to create, modularize, and interact with an MCP server using both Server-Sent Events (SSE) and STDIO transport mechanisms.

Project Structure

• server.py: The main entry point for the MCP server. It initializes the FastMCP instance and registers tools from the tools package.

• client.py: An automated Python client that connects to the server and tests the available tools. It connects using the STDIO transport by default and runs the server as a background subprocess.

• tools/: A package containing the modularized MCP tools.

  • math_tools.py: Contains mathematical tools like calculate_sum and filter_even_numbers.

  • text_tools.py: Contains text processing tools like analyze_text.

• requirements.txt: Python dependencies required for this project.

Related MCP server: aleostudio MCP Server

Setup

1. Ensure you have Python installed.

2. Create and activate a virtual environment (recommended):

   python -m venv venv
   venv\Scripts\activate  # On Windows
   # source venv/bin/activate  # On macOS/Linux

3. Install the dependencies:

   pip install -r requirements.txt

Running the Project

Running the Client (STDIO Mode)

The simplest way to test the project is to run the client. In STDIO mode, the client will automatically start server.py in the background, discover the available tools, and execute a sample tool call (calculate_sum).

python client.py

Running the Server (SSE Mode)

If you wish to communicate over a network, you can run the server in Server-Sent Events (SSE) mode:

1. Start the server in a terminal:

   python server.py sse

2. Open a second terminal and run the client in SSE mode:

   python client.py sse

VS Code Integration

This server is fully compatible with Cline VS Code. To use it, you can add it to your config.json:

{
  "mcpServers": {
    "my-python-server": {
      "command": "path\\to\\your\\venv\\Scripts\\python.exe",
      "args": [
        "path\\to\\your\\server.py"
      ]
    }
  }
}

(Make sure to use absolute paths to your python executable and server.py file).