name: mcp-scaffold description: Scaffold production-ready Python MCP servers using FastMCP. Use when creating new MCP servers, initializing MCP projects, generating server boilerplate, or setting up MCP development environments. Supports all MCP primitives (tools, resources, prompts) with Pydantic validation, async patterns, and proper project structure.

MCP Server Scaffolding

Scaffold production-ready Python MCP servers with FastMCP.

Quick Start

Generate a new MCP server:

python scripts/scaffold.py my-server --output ./my-server

This creates a complete project structure with:

• server.py - Main server with example tool, resource, and prompt
• requirements.txt - Dependencies (fastmcp, pydantic)
• README.md - Usage instructions

Scaffolding Options

Minimal Server (Tools Only)

python scripts/scaffold.py my-server --template basic

Full Server (All Primitives)

python scripts/scaffold.py my-server --template full

With Specific Features

python scripts/scaffold.py my-server \
  --tools \
  --resources \
  --prompts \
  --lifespan \
  --output ./servers/my-server

Validation

Validate an existing MCP server:

python scripts/validate.py path/to/server.py

Checks:

• FastMCP import and initialization
• Tool definitions with proper type hints
• Resource URI patterns
• Pydantic Field usage
• Async function patterns

Project Structure

Generated projects follow this structure:

my-server/
├── server.py           # Main MCP server
├── requirements.txt    # Python dependencies
├── README.md          # Usage documentation
└── data/              # Default data directory (gitignored)

Templates

Basic Template

Minimal server with one tool:

from fastmcp import FastMCP

mcp = FastMCP("my-server")

@mcp.tool
def hello(name: str) -> str:
    """Greet someone by name."""
    return f"Hello, {name}!"

if __name__ == "__main__":
    mcp.run()

Full Template

Complete server with tools, resources, prompts, and lifespan. See assets/templates/full-server.py.

Reference Documentation

• FastMCP API: See references/FASTMCP-GUIDE.md for decorator syntax, type hints, and patterns
• Common Patterns: See references/PATTERNS.md for database connections, API clients, error handling
• Deployment: See references/DEPLOYMENT.md for stdio, HTTP, and Docker deployment

MCP Primitives Cheatsheet

Tools (Actions)

from pydantic import Field

@mcp.tool
def my_tool(
    param: str = Field(description="Parameter description"),
    optional: int = Field(default=10, description="Optional with default")
) -> dict:
    """Tool description shown to LLM."""
    return {"result": param}

Resources (Data)

@mcp.resource("myscheme://path/to/resource")
def static_resource() -> str:
    """Resource description."""
    return json.dumps({"data": "value"})

@mcp.resource("myscheme://items/{item_id}")
def dynamic_resource(item_id: str) -> str:
    """Dynamic resource with URI template."""
    return json.dumps({"id": item_id})

Prompts (Templates)

@mcp.prompt(name="my_prompt", tags={"category"})
def my_prompt(
    topic: str = Field(description="What to analyze")
) -> str:
    """Prompt description."""
    return f"Please analyze {topic} and provide insights."

Workflow

1. Scaffold - Generate project structure
2. Customize - Add your tools, resources, prompts
3. Validate - Check for common issues
4. Test - Run locally with python server.py
5. Deploy - Add to Claude Code with claude mcp add