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
访问服务器

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

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选