This tests the mcp connection between server and client such as cline using python and FastMCP
概览
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. - 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. 1. Ensure you have Python installed. 2. Create and activate a virtual environment (recommended): 3.
README
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 theFastMCPinstance and registers tools from thetoolspackage.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 likecalculate_sumandfilter_even_numbers.text_tools.py: Contains text processing tools likeanalyze_text.
requirements.txt: Python dependencies required for this project.
Setup
- Ensure you have Python installed.
- Create and activate a virtual environment (recommended):
python -m venv venv venv\Scripts\activate # On Windows # source venv/bin/activate # On macOS/Linux - 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:
- Start the server in a terminal:
python server.py sse - 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).
安装
This server does not publish a one-line install command.
Open the repository installation guide 新手?先看 mcpskill.org 教程 →配置
{
"mcpServers": {
"my-python-server": {
"command": "path\\to\\your\\venv\\Scripts\\python.exe",
"args": [
"path\\to\\your\\server.py"
]
}
}
}