US Public Data

关于

This project provides Model Context Protocol (MCP) servers that bridge US government data.gov APIs with AI applications. It offers standardized access to thousands of public datasets from federal agencies like the Census Bureau, SEC, FDA, BLS, and EPA. This enables seamless integration, allowing AI tools such as Claude Desktop and Cline to directly query and utilize authoritative government data for various analytical and informational tasks. Developers can also easily create new MCP servers using provided templates, fostering rapid expansion of accessible public data.

主要功能

• Standardized access to US public data APIs via MCP.
• Direct integration with popular AI tools like Claude and Cline.
• Easy installation for individual servers using pip or uv.
• Strong type validation for data integrity using Pydantic.
• Developer-friendly template for rapid creation of new MCP servers.
• 1 GitHub stars

使用案例

• Empower AI assistants to directly retrieve official US government statistics and records.
• Develop AI applications that require contextual and real-time access to economic, health, and environmental data.
• Automate data analysis and reporting by querying diverse public datasets through a unified interface.