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Gen AI Lyrics Search Agent MCP Server

@tehmenghai

代码仓库

基本信息

分类

AI 与智能体

传输方式

stdio

作者

tehmenghai

关于 Gen AI Lyrics Search Agent MCP Server

暂无概览

#gen-ai#lyrics-search#music-assistant

Gen AI Lyrics Search Agent MCP Server 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-server-tehmenghai": {
      "command": "docker",
      "args": [
        "build",
        "-t",
        "lyrics-search-agent",
        "."
      ]
    }
  }
}

Gen AI Lyrics Search Agent MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

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 Gen AI Lyrics Search Agent?

A generative AI agent that searches for song lyrics across the web and returns results in a specific format for mobile apps. It is built with the Model Context Protocol (MCP) for standardized tool integration and provides a FastAPI-based REST API.

How to use Gen AI Lyrics Search Agent?

Clone the repository, install dependencies with Poetry (poetry install), set up environment variables from .env.example, then run with poetry run uvicorn app.main:app --reload or using Docker. Access the API documentation at http://localhost:8000/docs.

Key features of Gen AI Lyrics Search Agent

  • Web-based lyrics search across multiple sources
  • Generative AI-powered conversation interface
  • MCP-compliant tool integration
  • FastAPI-based REST API with authentication and rate limiting
  • Performance monitoring and analytics
  • Docker support for containerized deployment

Use cases of Gen AI Lyrics Search Agent

  • A mobile app that needs to fetch song lyrics on demand
  • Integrating a conversational AI agent that can search lyrics across the web
  • Building a tool that aggregates lyrics from multiple sources in a standardized format

常见问题

1

What runtime dependencies does it require?

Python 3.10 or higher, Poetry for dependency management, and optionally Docker.

2

How do I add a new search tool?

Create a new tool class in `app/tools/`, implement the `BaseTool` interface, and register the tool in `app/main.py`.

3

Where can I view the API documentation?

Once the application is running, visit `http://localhost:8000/docs` for interactive API docs or `http://localhost:8000/redoc` for ReDoc.

4

How is the server licensed?

It is licensed under the MIT License.

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