mcp-sdk-python-bootstrapper

name	mcp-sdk-python-bootstrapper
description	Bootstrap MCP server with Python SDK, transport configuration, tool/resource handlers, and proper project structure.
allowed-tools	Read, Write, Edit, Bash, Glob, Grep
graph	{"domains":["domain:software-engineering"],"specializations":["specialization:cli-mcp-development"],"skillAreas":["skill-area:mcp-server-implementation","skill-area:mcp-stdio-transport"],"roles":["role:backend-engineer","role:platform-engineer"],"workflows":["workflow:feature-development"],"topics":["topic:developer-experience"]}

MCP SDK Python Bootstrapper

Bootstrap a complete MCP server using the Python SDK with proper project structure.

Capabilities

• Generate Python MCP server project structure
• Create tool and resource handlers
• Configure stdio/SSE transport layers
• Set up proper typing with Pydantic
• Implement error handling patterns
• Configure Poetry/pip project

Usage

Invoke this skill when you need to:

• Bootstrap a new MCP server in Python
• Create tools and resources for AI consumption
• Set up MCP transport layer
• Implement MCP protocol handlers

Inputs

Parameter	Type	Required	Description
projectName	string	Yes	Name of the MCP server project
description	string	Yes	Description of the server
tools	array	No	List of tools to implement
resources	array	No	List of resources to expose
transport	string	No	Transport type: stdio, sse (default: stdio)

Tool Structure

{
  "tools": [
    {
      "name": "search_files",
      "description": "Search for files matching a pattern",
      "parameters": {
        "pattern": { "type": "string", "description": "Search pattern" },
        "path": { "type": "string", "description": "Base path", "default": "." }
      }
    }
  ]
}

Output Structure

<projectName>/
├── pyproject.toml
├── README.md
├── .gitignore
├── src/
│   └── <package>/
│       ├── __init__.py
│       ├── __main__.py        # Entry point
│       ├── server.py          # MCP server setup
│       ├── tools/
│       │   ├── __init__.py
│       │   └── search.py      # Tool implementations
│       ├── resources/
│       │   ├── __init__.py
│       │   └── files.py       # Resource providers
│       └── types/
│           ├── __init__.py
│           └── schemas.py     # Pydantic models
└── tests/
    └── test_tools.py

Generated Code Patterns

Server Setup (src//server.py)

import asyncio
from mcp.server import Server
from mcp.server.stdio import stdio_server
from mcp.types import Tool, Resource

from .tools import register_tools
from .resources import register_resources

# Create server instance
server = Server("<projectName>")

# Register handlers
register_tools(server)
register_resources(server)

async def main():
    """Run the MCP server."""
    async with stdio_server() as (read_stream, write_stream):
        await server.run(
            read_stream,
            write_stream,
            server.create_initialization_options()
        )

def run():
    """Entry point for the server."""
    asyncio.run(main())

Tool Implementation (src//tools/search.py)

from typing import Any
from pydantic import BaseModel, Field
from mcp.server import Server
from mcp.types import Tool, TextContent

class SearchFilesInput(BaseModel):
    """Input schema for search_files tool."""
    pattern: str = Field(description="Search pattern (glob)")
    path: str = Field(default=".", description="Base path to search")

def register(server: Server) -> None:
    """Register the search_files tool."""

    @server.list_tools()
    async def list_tools() -> list[Tool]:
        return [
            Tool(
                name="search_files",
                description="Search for files matching a pattern",
                inputSchema=SearchFilesInput.model_json_schema()
            )
        ]

    @server.call_tool()
    async def call_tool(name: str, arguments: dict[str, Any]) -> list[TextContent]:
        if name != "search_files":
            raise ValueError(f"Unknown tool: {name}")

        
        input_data = SearchFilesInput(**arguments)

        
         pathlib  Path
        matches = (Path(input_data.path).glob(input_data.pattern))

         [
            TextContent(
                =,
                text=.join((m)  m  matches)
            )
        ]

Resource Provider (src//resources/files.py)

from mcp.server import Server
from mcp.types import Resource, TextResourceContents

def register(server: Server) -> None:
    """Register file resources."""

    @server.list_resources()
    async def list_resources() -> list[Resource]:
        return [
            Resource(
                uri="file:///config",
                name="Configuration",
                description="Server configuration",
                mimeType="application/json"
            )
        ]

    @server.read_resource()
    async def read_resource(uri: str) -> TextResourceContents:
        if uri == "file:///config":
            return TextResourceContents(
                uri=uri,
                mimeType="application/json",
                text='{"version": "1.0.0"}'
            )
        raise ValueError(f"Unknown resource: {uri}")

Dependencies

[tool.poetry.dependencies]
python = ">=3.10"
mcp = "^1.0.0"
pydantic = "^2.0.0"

[tool.poetry.group.dev.dependencies]
pytest = "^8.0.0"
pytest-asyncio = "^0.23.0"

Workflow

1. Create project structure - Set up Python package
2. Generate server - MCP server with transport
3. Create tools - Tool handlers with schemas
4. Create resources - Resource providers
5. Add types - Pydantic models
6. Set up tests - Async test fixtures

Target Processes

• mcp-server-bootstrap
• mcp-tool-implementation
• mcp-resource-provider