Your snapshot
Felt Maps's score and Geospatial & Spatial Analytics Data position
Map and analyze your geospatial data
Description
Felt is a modern GIS platform for creating, analyzing, and sharing interactive maps. The Felt MCP server lets Claude run geospatial analysis end-to-end: query connected databases and storage (Databricks, Snowflake, BigQuery, PostgreSQL, S3) with spatial SQL, build and style map layers with Felt Style Language (FSL), upload files, manage annotations like pins and polygons, share maps, and tap into Felt's curated library of public datasets covering boundaries, demographics, infrastructure, and climate.
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Claude Discoverability Score
Live · refreshed daily. Last refreshed#1of 14competitors
Shown to buyers in 100.0% of contested Runs.
One core score. Three important factors to discoverability.
Felt Maps organic discovery report
See how Felt Maps appears in Geospatial & Spatial Analytics Data, where it ranks, and how it compares with the wider Claude Connector ecosystem.
Your snapshot
Felt Maps's score and Geospatial & Spatial Analytics Data position
Industry report
State of Agent Discovery
30-day industry report
The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.
As of 2026-09-28, Felt Maps competes with TomTom Maps, GIS Cloud, Maryland Community Compass, Alloy Robotics, barocline, BigGeo AI, ExplorationMaps, La Grande Carte, Prefix WhoIs, SkyWatch, Swath API, TrustyData, Wherobots Spatial AI Assistant in Claude Geospatial & Spatial Analytics Data, ranked by public Discoverability Score.
As of 2026-09-28, Felt Maps ranks #1 of 14 in Claude Geospatial & Spatial Analytics Data with a Discoverability Score of 100/100 (Winning).
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.