MCP Python Starter
@SamMorrowDrums
About MCP Python Starter
A starter MCP server in Python.
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-python-starter": {
"command": "uv",
"args": [
"sync"
]
}
}
}Tools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is MCP Python Starter?
A feature-complete Model Context Protocol (MCP) server template written in Python using FastMCP. It demonstrates all major MCP features—tools, resources, templates, and prompts—with clean, Pythonic code, serving as a jumpstart for developers building their own MCP servers.
How to use MCP Python Starter?
Install prerequisites: Python 3.11+ and uv (recommended) or pip. Clone the repository, run uv sync (or pip install -e .), then start the server with uv run mcp-python-starter --stdio for local development or uv run mcp-python-starter --http --port 3000 for HTTP transport. VS Code integration via .vscode/mcp.json and DevContainers are included for seamless development.
Key features of MCP Python Starter
- Tools with annotations and structured data
- Dynamic tool loading at runtime
- Resource templates for personalized responses
- Progress updates for long-running tasks
- LLM sampling via tool invocation
- Code review prompt template with focus areas
Use cases of MCP Python Starter
- Quickly prototyping and testing an MCP server locally
- Learning how to implement tools, resources, and prompts with FastMCP
- Building a custom MCP server for an AI‑powered IDE or chat client
- Debugging server behavior using the MCP Inspector tool
FAQ from MCP Python Starter
What are the prerequisites for using MCP Python Starter?
You need Python 3.11 or later and either uv or pip installed on your system.
How do I run the server?
Use uv run mcp-python-starter --stdio for stdio transport (local development) or uv run mcp-python-starter --http --port 3000 for HTTP transport (remote/web deployment).
How can I debug the server?
Launch the MCP Inspector with npx @modelcontextprotocol/inspector -- uv run mcp-python-starter to test tools, resources, prompts, and view JSON‑RPC logs.
What environment variables are needed?
Copy .env.example to .env and configure the required variables. No specific variables are detailed in the README.
What license does the project use?
The MCP Python Starter is released under the MIT License.
Frequently asked questions
What are the prerequisites for using MCP Python Starter?
You need Python 3.11 or later and either uv or pip installed on your system.
How do I run the server?
Use `uv run mcp-python-starter --stdio` for stdio transport (local development) or `uv run mcp-python-starter --http --port 3000` for HTTP transport (remote/web deployment).
How can I debug the server?
Launch the MCP Inspector with `npx @modelcontextprotocol/inspector -- uv run mcp-python-starter` to test tools, resources, prompts, and view JSON‑RPC logs.
What environment variables are needed?
Copy `.env.example` to `.env` and configure the required variables. No specific variables are detailed in the README.
What license does the project use?
The MCP Python Starter is released under the MIT License.
Basic information
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