MCP Server Creator

MCP Server Creator

Enables dynamic creation and code generation of MCP servers using FastMCP, with tools for adding custom tools, resources, and generating runnable Python code.

Category
Visit Server

README

MCP Server Creator 🏗️

PyPI version License: MIT

A powerful Model Context Protocol (MCP) server that creates other MCP servers! This meta-server provides tools for dynamically generating FastMCP server configurations and Python code.

🚀 Quick Start

Install with pip

pip install mcp-server-creator

Run with uvx (recommended)

uvx mcp-server-creator

Run as a module

python -m mcp_server_creator

Features

  • Dynamic Server Creation: Create new MCP server configurations on the fly
  • Tool Builder: Add custom tools with parameters, return types, and implementations
  • Resource Manager: Add static and dynamic resources with template support
  • Code Generation: Generate complete, runnable Python code for your servers
  • File Export: Save generated servers directly to Python files
  • Example Templates: Built-in example server to demonstrate capabilities

Usage

As an MCP Server

The MCP Server Creator is itself an MCP server that can be used with Claude Desktop or any MCP client.

Claude Desktop Configuration

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "mcp-server-creator": {
      "command": "uvx",
      "args": ["mcp-server-creator"]
    }
  }
}

Programmatic Usage

from mcp_server_creator import create_server, add_tool, generate_server_code

# Create a new server configuration
result = create_server(
    name="My API Server",
    description="A custom API integration server",
    version="1.0.0"
)

# Add a tool
add_tool(
    server_id="my_api_server",
    tool_name="fetch_data",
    description="Fetch data from the API",
    parameters=[{"name": "endpoint", "type": "str"}],
    return_type="dict",
    implementation='return {"data": f"Fetched from {endpoint}"}'
)

# Generate the code
code = generate_server_code("my_api_server")
print(code)

Available Tools

Server Management

  • create_server: Create a new MCP server configuration
  • list_servers: List all server configurations in memory
  • get_server_details: Get detailed information about a specific server

Tool Management

  • add_tool: Add a tool to an existing server
    • Supports both sync and async tools
    • Custom parameter definitions with types and defaults
    • Automatic import management

Resource Management

  • add_resource: Add a resource to an existing server
    • Static resources for fixed data
    • Dynamic resource templates with parameters
    • Custom MIME types

Code Generation

  • generate_server_code: Generate complete Python code for a server
  • save_server: Save generated server code to a file
  • create_example_server: Create a complete example Weather Service

Example: Creating a Weather Service

import asyncio
from mcp_server_creator import create_server, add_tool, add_resource, save_server

async def create_weather_service():
    # Create the server
    create_server(
        name="Weather Service",
        description="Get weather information",
        version="1.0.0"
    )
    
    # Add a weather tool
    add_tool(
        server_id="weather_service",
        tool_name="get_weather",
        description="Get current weather for a city",
        parameters=[
            {"name": "city", "type": "str"},
            {"name": "units", "type": "str", "default": '"celsius"'}
        ],
        return_type="dict",
        is_async=True,
        implementation='''
    # Your weather API logic here
    return {
        "city": city,
        "temperature": 20,
        "units": units,
        "condition": "sunny"
    }'''
    )
    
    # Add a resource
    add_resource(
        server_id="weather_service",
        uri="weather://{city}/current",
        name="Current Weather",
        description="Get current weather data",
        is_template=True,
        implementation='return {"city": city, "weather": "sunny"}'
    )
    
    # Save to file
    await save_server("weather_service", "weather_service.py")

# Run the creation
asyncio.run(create_weather_service())

Development

Setup

git clone https://github.com/GongRzhe/mcp-server-creator.git
cd mcp-server-creator
pip install -e .

Testing

python test_mcp_creator.py

Requirements

  • Python 3.8+
  • FastMCP >= 0.1.0

License

MIT License - see LICENSE file for details.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Author

GongRzhe - gongrzhe@gmail.com

Links

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured