ai.smithery/turnono-datacommons-mcp-server
Discover statistical indicators and topics in Data Commons. Retrieve observations for specific var…
Open source Repository Open in the app JSON README (API)
About
Discover statistical indicators and topics in Data Commons. Retrieve observations for specific var…
Details
- Kind
- MCP servers
- Topic
- No topic detected
- Publisher
- ai.smithery
- Origin
- official
- Category
- ferramentas
- Transport
- http
- Version
- 1.16.0
- Open pull requests
- 1
- Last push
- 2025-10-05T09:59:15Z
- Repository state
- ativo
- Language
- Python
- Added
- 2026-08-29 03:00:41
- Updated
- 2026-08-29 03:00:41
- Origin id
ai.smithery/turnono-datacommons-mcp-server
README
# DataCommons MCP Server A Model Context Protocol (MCP) server for accessing Data Commons API data. ## Features - Search for indicators and topics - Get observations and data - Support for various data formats and chart configurations - HTTP and stdio transport modes ## Installation ### Using pip ```bash pip install -r requirements.txt pip install -e . ``` ### Using Docker ```bash docker build -t datacommons-mcp . docker run -p 8000:8000 datacommons-mcp ``` ## Usage ### CLI Commands Start the server in HTTP mode: ```bash python -m datacommons_mcp.cli serve http --host 0.0.0.0 --port 8000 ``` Start the server in stdio mode: ```bash python -m datacommons_mcp.cli serve stdio ``` ### Environment Variables - `GOOGLE_API_KEY`: Your Google API key for Data Commons access ## Development Install development dependencies: ```bash pip install -e ".[dev]" ``` Run tests: ```bash pytest ``` Format code: ```bash black . isort . ``` ## License MIT License