What runtime dependencies does it require?
Python 3.10 or higher, Poetry for dependency management, and optionally Docker.
@tehmenghai
Basic information
No overview available yet
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-server-tehmenghai": {
"command": "docker",
"args": [
"build",
"-t",
"lyrics-search-agent",
"."
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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.
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.
Python 3.10 or higher, Poetry for dependency management, and optionally Docker.
Create a new tool class in `app/tools/`, implement the `BaseTool` interface, and register the tool in `app/main.py`.
Once the application is running, visit `http://localhost:8000/docs` for interactive API docs or `http://localhost:8000/redoc` for ReDoc.
It is licensed under the MIT License.

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