Integrates diverse US government public data APIs into AI tools through the Model Context Protocol.
Sponsored
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.
Key Features
01Standardized access to US public data APIs via MCP.
02Direct integration with popular AI tools like Claude and Cline.
03Easy installation for individual servers using pip or uv.
04Strong type validation for data integrity using Pydantic.
05Developer-friendly template for rapid creation of new MCP servers.
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Use Cases
01Empower AI assistants to directly retrieve official US government statistics and records.
02Develop AI applications that require contextual and real-time access to economic, health, and environmental data.
03Automate data analysis and reporting by querying diverse public datasets through a unified interface.
