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MCP API Server Template

@fnf-deepHeading

代码仓库

关于 MCP API Server Template

暂无概览

基本信息

分类

开发工具

许可证

MIT

运行时

python

传输方式

stdio

发布者

fnf-deepHeading

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-api-server-wrapper": {
      "command": "uv",
      "args": [
        "sync"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is MCP API Server Template?

MCP API Server Template is a project template that helps you wrap external APIs into MCP (Model Context Protocol) servers with the assistance of AI. It is designed for developers who want to quickly create standardized MCP servers from any API documentation.

How to use MCP API Server Template?

Clone the repository, run uv sync to install dependencies, then provide API documentation to an AI assistant using the specified prompt format. The AI will automatically analyze the API docs, generate server code, configure files, and provide execution instructions. You can then configure the MCP server in Claude using the provided JSON format with uv command and API key arguments.

Key features of MCP API Server Template

  • AI‑powered automatic API integration
  • Command‑line argument for configuration management
  • Docker support
  • Detailed guide documentation
  • No manual coding required for API wrapping

Use cases of MCP API Server Template

  • Rapidly create an MCP server from any external REST API documentation
  • Wrap multiple API endpoints (e.g., Naver Search APIs) into a single MCP server
  • Generate a production‑ready MCP server with AI, then refine with code review prompts
  • Deploy the resulting MCP server in AI assistants like Claude

FAQ from MCP API Server Template

What is this template for?

It is a starting point for creating MCP servers that integrate with external APIs. The AI assistant handles the implementation based on your API documentation.

What are the runtime requirements?

Python 3.10 or higher is required. Dependencies are managed via uv sync.

How do I configure API keys?

Set API keys in a .env file in the correct location, or pass them as command‑line arguments (e.g., --API_KEY your_api_key) when starting the server.

Can I use Docker?

Yes, the template provides Docker support. Ensure the Docker daemon is running and the image is built correctly.

How do I debug the server?

The README mentions a debug mode and offers troubleshooting steps for common errors like dependency issues, API key problems, and Docker errors.

评论

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