newyork-taxi-mcp-server-project

The server primarily uses Pandas for data analysis and Whoosh for full-text search, with data loaded from hardcoded local paths. There are no explicit uses of `eval`, `exec`, or `subprocess.run` with unvalidated user input. It does not appear to open public network ports directly, relying on the FastMCP framework for local inter-process communication with the Gemini CLI. Data loading from parquet/csv is generally safe when file paths are controlled, as they are here. No hardcoded secrets were found.