Private
servidor MCP
2025-04-14
3 years
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Gen AI Lyrics Search Agent
A generative AI agent that can search for song lyrics across the web and return results in a specific format for mobile apps. Built with Model Context Protocol (MCP) for standardized tool integration.
Features
- 🔍 Web-based lyrics search across multiple sources
- 🤖 Generative AI-powered conversation interface
- 🔌 MCP-compliant tool integration
- 🚀 FastAPI-based REST API
- 🔒 Authentication and rate limiting
- 📊 Performance monitoring and analytics
Prerequisites
- Python 3.10 or higher
- Poetry for dependency management
- Docker (optional)
Setup
- Clone the repository:
git clone <repository-url>
cd lyrics-search-agent
- Install dependencies using Poetry:
poetry install
- Set up environment variables:
cp .env.example .env
# Edit .env with your configuration
- Run the application:
poetry run uvicorn app.main:app --reload
Or using Docker:
docker build -t lyrics-search-agent .
docker run -p 8000:8000 lyrics-search-agent
API Documentation
Once the application is running, visit:
- API documentation: http://localhost:8000/docs
- ReDoc alternative: http://localhost:8000/redoc
Key Endpoints
-
GET /: Service information -
POST /search: Search for lyrics -
GET /tools: List available tools
Development
Project Structure
app/
├── __init__.py
├── main.py
├── mcp/
│ ├── __init__.py
│ └── protocol.py
└── tools/
└── web_search.py
Adding New Tools
- Create a new tool class in
app/tools/ - Implement the
BaseToolinterface - Register the tool in
app/main.py
Testing
Run tests using pytest:
poetry run pytest
Contributing
- Fork the repository
- Create a feature branch
- Commit your changes
- Push to the branch
- Create a Pull Request
License
This project is licensed under the MIT License - see the LICENSE file for details.
Acknowledgments
- OpenAI/Anthropic for LLM capabilities
- FastAPI for the web framework
- LangChain for LLM orchestration
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Reviews
3.4
(7)
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2025-04-24
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