turnono-datacommons-mcp-server
Discover statistical indicators and topics in Data Commons. Retrieve observations for specific var鈥�
可用工具 （5 个）
该服务在 MCP 协议中暴露的工具，AI 可按需调用
tavily_search 14 个参数 需填 1 项
Search the web for current information on any topic. Use for news, facts, or data beyond your knowledge cutoff. Returns snippets and source URLs.
必填参数：query
tavily_extract 6 个参数 需填 1 项
Extract content from URLs. Returns raw page content in markdown or text format.
必填参数：urls
tavily_crawl 11 个参数 需填 1 项
Crawl a website starting from a URL. Extracts content from pages with configurable depth and breadth.
必填参数：url
tavily_map 8 个参数 需填 1 项
Map a website's structure. Returns a list of URLs found starting from the base URL.
必填参数：url
tavily_research 2 个参数 需填 1 项
Perform comprehensive research on a given topic or question. Use this tool when you need to gather information from multiple sources to answer a question or complete a task. Returns a detailed response based on the research findings.
必填参数：input
服务介绍
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
pip install -r requirements.txt
pip install -e .
# # Using Docker
docker build -t datacommons-mcp .
docker run -p 8000:8000 datacommons-mcp
# Usage
# # CLI Commands
Start the server in HTTP mode:
python -m datacommons_mcp.cli serve http - -host 0.0.0.0 - -port 8000
Start the server in stdio mode:
python -m datacommons_mcp.cli serve stdio
# # Environment Variables
GOOGLE_API_KEY: Your Google API key for Data Commons access
# Development
Install development dependencies:
pip install -e ".[dev]"
Run tests:
pytest
Format code:
black .
isort .
# License
MIT License
