mcp · Global

esri-mcp

MCP server for querying and mapping Esri Living Atlas data, with a focus on water resources

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Data offered docs-verified: state boundaries · county boundaries · USGS gages · rivers · dams · watersheds · impaired waters · water quality stations · weather stations · RAWS stations · seismic stations · CORS stations · storm reports
Coverage llm-inferred: Global (per ENTRY regions metadata; listed sources such as USGS gages and RAWS are US-based)
Formats docs-verified: GeoJSON
Access docs-verified: Local install, self-hosted: clone the repo and run the MCP server with `python main.py --http`; no auth per ENTRY. Code licence MIT per docs. Licence of the underlying Esri Living Atlas data is not stated.

Use cases llm-inferred: Screen rivers, watersheds, dams and impaired waters for a non-UK project site as a desk-based context map · Locate USGS gauges or water quality stations near a site for baseline data discovery · Pull weather or CORS station locations to scope rainfall or GNSS monitoring for an environmental assessment
Audience llm-inferred: GIS analysts · hydrologists · flood consultants · environmental consultants

Constraints llm-inferred: Docs do not state UK coverage; the listed sources (USGS gages, RAWS) are US-based, so UK use needs checking · Requires a local install: pip install fastmcp requests, and Node.js for the optional frontend · Resolution, update frequency and Living Atlas data licence are not documented · Auth is null in ENTRY and the access model for the underlying Esri services is not documented · Maintenance status and version are not stated

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

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

Metadata observed 15/10/2026 · research sweep: github-search