Python Template
This template provides a streamlined foundation for building Model Context Protocol (MCP) servers in Python. It's designed to make AI-assisted development of MCP tools easier and more efficient.
What is Python Template?
Python Template is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to this template provides a streamlined foundation for building model context protocol (mcp) servers in python. it's designed to make ai-assisted development of mcp tools easier and more efficient.
This template provides a streamlined foundation for building Model Context Protocol (MCP) servers in Python. It's designed to make AI-assisted development of MCP tools easier and more efficient.
This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- This template provides a streamlined foundation for building
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx python-templateConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Python Template
Python Template MCP Server is a ready-to-use project scaffold for building Model Context Protocol servers in Python, designed to make AI-assisted MCP development faster and more accurate. It bundles the complete MCP specification, the Python SDK reference, and a working weather service example directly in the project so AI coding tools have all the context they need without external lookups. The template supports both stdio transport for local CLI tools and SSE transport for web-accessible servers, and is built around the FastMCP high-level API from the official MCP Python SDK.
Prerequisites
- Python 3.12 or later
- uv or pip for package management
- Git to clone the template repository
- An MCP-compatible client such as Claude Desktop for testing your built server
Clone the template repository
Clone the mcp-server-python-template repository as the starting point for your new MCP server project.
git clone https://github.com/sontallive/mcp-server-python-template.git my-mcp-server
cd my-mcp-serverCreate a virtual environment and install dependencies
Set up an isolated Python environment and install the required packages including the mcp SDK, httpx, starlette, and uvicorn.
python -m venv .venv
source .venv/bin/activate
pip install -e .Run the included example server
Start the bundled weather service example to confirm the template works correctly before customizing it.
python server.py --transport stdioDefine your own MCP tools
Open server.py and replace or extend the example tools using the @mcp.tool() decorator. Each decorated function becomes a callable tool that AI clients can discover and invoke.
from mcp.server.fastmcp import FastMCP
mcp = FastMCP("my-namespace")
@mcp.tool()
async def my_tool(query: str) -> str:
"""
Describe what this tool does.
Args:
query: The input query
Returns:
The result string
"""
return f"Result for: {query}"
if __name__ == "__main__":
mcp.run(transport='stdio')Add your server to Claude Desktop for testing
Register your custom server with Claude Desktop using the absolute path to your server.py file and your virtual environment's Python binary.
{
"mcpServers": {
"my-mcp-server": {
"command": "/path/to/my-mcp-server/.venv/bin/python",
"args": ["/path/to/my-mcp-server/server.py", "--transport", "stdio"]
}
}
}Python Template Examples
Client configuration
Claude Desktop configuration for a server built from the Python Template, using the venv Python binary.
{
"mcpServers": {
"my-mcp-server": {
"command": "/Users/yourname/my-mcp-server/.venv/bin/python",
"args": ["/Users/yourname/my-mcp-server/server.py", "--transport", "stdio"]
}
}
}Prompts to try
Once your custom tools are defined and the server is registered, Claude can invoke them by name.
- "Use the my_tool function to look up information about Python async patterns"
- "What tools does this MCP server expose?"
- "Run the example weather tool to get the forecast for New York"
- "Call my custom tool with the query 'database indexing best practices'"Troubleshooting Python Template
ImportError for mcp module when running server.py
Make sure your virtual environment is activated and you ran 'pip install -e .' from the project root. The mcp package requires Python 3.12+, so check your version with 'python --version'.
Claude Desktop does not detect any tools from the server
Verify the command path in claude_desktop_config.json points to the Python binary inside the .venv directory, not the system Python. Use the absolute path to both the binary and server.py.
SSE transport mode does not start or is unreachable
When running with --transport sse, the server listens on the host and port you specify (default 0.0.0.0:8080). Make sure no firewall is blocking that port and that uvicorn is installed as part of the dependencies.
Frequently Asked Questions about Python Template
What is Python Template?
Python Template is a Model Context Protocol (MCP) server that this template provides a streamlined foundation for building model context protocol (mcp) servers in python. it's designed to make ai-assisted development of mcp tools easier and more efficient. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Python Template?
Follow the installation instructions on the Python Template GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Python Template?
Python Template works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Python Template free to use?
Yes, Python Template is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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