fed-data-mcp-registry

Curated list of MCP servers for open government data—connect AI assistants to census, health, environmental, economic, and other public datasets from federal sources.

Visit source ↗GitHub repository ↗

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What's in it

Data offered docs-verified: CDC PLACES (health) · NIH Reporter (research funding) · U.S. Census Data · USA Spending Data · USA Analytics
Coverage llm-inferred: United States
Formats llm-inferred: MCP stdio · MCP over HTTP (remote URL)
Access docs-verified: Catalogue released under CC0-1.0; individual servers have their own licences, so check each repository. No authentication is stated in the docs.

Useful for

Use cases llm-inferred: Benchmark US county-level health indicators (CDC PLACES) against comparable UK or regional data for a non-UK comparator study · Pull US Census demographic context for a cross-border environmental justice or climate-exposure literature review · Map US federal research funding (NIH Reporter) to identify academic partners in water or environmental health · Research US federal spending and contract patterns (USA Spending) for market analysis of environmental services
Audience llm-inferred: GIS analysts · environmental consultants · planners · data analysts · researchers

Limitations

Constraints llm-inferred: Covers U.S. government datasets only, with no UK data sources · Several entries (USA Analytics, U.S. Census Data) have no remote URL and need local installation from their repositories · Status checks are not available for some entries (shown as '—') · Community-maintained catalogue, so entries may go stale · Each server carries its own licence, which may restrict use

Licence: Unknown — check provider terms
Authentication: Unknown — review source docs
GitHub stars: 16
Last commit: 19/05/2026
Last successful page check: 14/10/2026
Page health: healthy
Package: Not recorded
Verification: Not independently verified

Auto-extracted, unverified fields: tools, install, auth. Check upstream documentation.

Provenance & evidence

Tools/install/auth auto-extracted from README; quality score heuristic (stars, recency, tool count, licence).

Metadata observed 16/10/2026 · research sweep: github-search