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Gen AI Lyrics Search Agent

@tehmenghai

About Gen AI Lyrics Search Agent

No overview available yet

Basic information

Category

AI & Agents

Runtime

python

Transports

stdio

Publisher

tehmenghai

Config

Add this server to your MCP-compatible client using the configuration below.

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

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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

FAQ from Gen AI Lyrics Search Agent

What runtime dependencies does it require?

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

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.

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.

How is the server licensed?

It is licensed under the MIT License.

Comments

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