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Gen AI Lyrics Search Agent MCP Server

@tehmenghai

リポジトリ

基本情報

カテゴリ

AI とエージェント

トランスポート

stdio

作者

tehmenghai

Gen AI Lyrics Search Agent MCP Server について

概要はまだありません

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

Gen AI Lyrics Search Agent MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "mcp-server-tehmenghai": {
      "command": "docker",
      "args": [
        "build",
        "-t",
        "lyrics-search-agent",
        "."
      ]
    }
  }
}

Gen AI Lyrics Search Agent MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

よくある質問

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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