SafeGraph

SafeGraph MCP Connector for Claude

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Integrate SafeGraph's premier geospatial dataset into your AI. Discover detailed POIs, analyze foot traffic patterns, and process precise building geometries seamlessly from conversational prompts.

10 tools Official Updated Jun 28, 2026 Official Vinkius Partner

Empower your AI with direct connectivity to SafeGraph, the foundational geospatial and mobility dataset trusted by top analytics and enterprise organizations globally. This robust integration converts your AI into an expert geographical analyst capable of retrieving precise intelligence surrounding global structures, Points of Interest (POIs), and detailed patterns—all without touching complex database pipelines.

What you can do

  • Rich Context on POIs — Fetch exhaustive lists of businesses or brands within targeted radii (search_distance_radius, search_brand_places). You can also slice the results according to their designated NAICS industry codes region-to-region (search_industry_naics).
  • Deep Geospatial Footprints — Look up exact WKT polygons for targeted individual buildings (lookup_building_geometry) or identify everything bounded inside designated custom city borders (search_wkt_polygon). Understand structural hierarchies immediately by querying parent containers like malls or industrial complexes (lookup_parent_polygon).
  • Pedestrian and Mobility Insights — Audit recent visit metrics, dwell times, and absolute foot traffic measurements attached to individual structures leveraging historical aggregation points (lookup_place_patterns).
  • Native GraphQL Exploration — Pass perfectly structured GraphQL queries straight to the root mapping infrastructure for fully-unlocked edge cases (graphql_raw_query). Request and resolve bulk Placekeys efficiently on demand (batch_lookup_placekeys).

How it works

  1. Install this SafeGraph mapping block into your AI workspace.
  2. Sign into the SafeGraph Dashboard environment.
  3. Request or generate a valid GraphQL API Key within your workspace settings.
  4. Input that key securely. Chat instantly: "Find all coffee shop POIs located within a 500-meter radius around longitude -122.33, latitude 47.60."
geospatial-datapoi-datafoot-traffic-analysislocation-intelligencedemographicsdata-mapping

10 tools expose this connector's capabilities to your AI agent.

batch_lookup_placekeys

Provide them as a JSON array. Performs multiple Placekey lookups in a single request

graphql_raw_query

Provide the query string and optional variables. Executes a raw GraphQL query against the SafeGraph API

lookup_building_geometry

Retrieves the building footprint (polygon) for a specific Placekey

lookup_parent_polygon

Identifies the parent Placekey for a location (e.g., mall or airport)

lookup_place_patterns

Retrieves historical foot traffic patterns for a specific Placekey

lookup_placekey

Retrieves detailed attributes for a specific location by its Placekey

search_brand_places

g., "Starbucks") in a specific city. Searches for locations of a specific brand in a city

search_distance_radius

Specify lat, lon, and radius in meters. Searches for places within a specific radius from a point

search_industry_naics

Searches for places by NAICS industry code and region

search_wkt_polygon

Finds all places within a specific geometric polygon (WKT)

See how to talk to your AI agent using SafeGraph.

Search for all the Starbucks branches strictly inside the city of Seattle, WA.

I've successfully queried SafeGraph places. Found 50 highly visible Starbucks locations associated inside Seattle, providing the unique Placekey IDs sequentially for each site mapped correctly.

Check what the detailed building geometry polygon is for Placekey '22m-xyz-1234'.

I executed a targeted building geometry lookup securely. The geometric bounding lines forming the structure of site '22m-xyz-1234' are POLYGON((-122.123 47.982, ...)), completely reflecting its physical real-world footprint mapped securely.

Can you gather the historical pedestrian traffic patterns evaluating typical visit frequencies around Placekey '123-abc-987'?

The foot traffic data has been cleanly retrieved from the registry! Based on safe historical compilations, this location captures an approximate volume of 12,000 visitors routinely holding a median dwell time reaching precisely 45 minutes on active days.

No. The AI interacts safely with the GraphQL API strictly on a 'read-only' query-bound basis. It has absolutely no inherent capability to corrupt or perform unauthorized destructive operations such as erasing core places or overwriting coordinates in your environment.

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