Lean BigQuery-only MCP server for PhysioNet datasets
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# physionet-mcp Lean MCP server for PhysioNet datasets - works with any PhysioNet dataset you have access to. 📺 **This is a lean version of m3 with similar BigQuery and PhysioNet setup. Check out detailed videos here:** [https://rafiattrach.github.io/m3/](https://rafiattrach.github.io/m3/) ## Quick Setup ### Production (After PyPI release) ```json { "mcpServers": { "physionet-mcp": { "command": "uvx", "args": ["physionet-mcp"], "env": { "BIGQUERY_PROJECT_ID": "your-project-id" } } } } ``` ### Local Development ```json { "mcpServers": { "physionet-mcp": { "command": "/path/to/physionet-mcp/venv/bin/python", "args": ["-m", "physionet_mcp.mcp_server"], "cwd": "/path/to/physionet-mcp", "env": { "BIGQUERY_PROJECT_ID": "your-project-id" } } } } ``` Replace `your-project-id` with your Google Cloud project ID. ## 4 Simple Tools 1. **list_accessible_datasets** → See what you can access 2. **get_database_schema** → Find tables in a dataset 3. **get_table_info** → Check structure & sample data 4. **execute_query** → Run your analysis ## Usage Examples - "What PhysioNet datasets can I access?" - "Show me MIMIC-IV hospital tables" - "What's in the patients table?" - "How many patients are in MIMIC-IV?" ## Future Enhancements Potential improvements for enterprise use: - **Dataset filtering** - Restrict access to specific datasets for security - **Query optimization** - Add result caching and query cost tracking - **Rate limiting** - Implement query throttling for shared environments - **Enhanced metadata** - Add column descriptions and data quality metrics ## License MIT
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