Mapbox MCP
Location intelligence is embedded in enterprise applications across logistics, retail, and field operations.
Official Mapbox MCP server enabling Claude to perform geocoding, route optimization, map rendering, spatial analysis, and location-based queries through the Mapbox APIs.
- Calculate driving distances between your warehouse and customer locations
- Convert a list of street addresses into map coordinates
- Plan optimized delivery routes for a fleet of drivers
Location intelligence is embedded in enterprise applications across logistics, retail, and field operations. AI-assisted mapping and geocoding lowers the barrier to incorporating spatial analysis in client workflows.
Data analysts, logistics teams, and developers building location-aware applications who want to incorporate mapping and geocoding into AI-assisted workflows.
https://www.npmjs.com/package/@mapbox/mcp-server
By Mapbox
How to Get It
npx -y @mapbox/mcp-server
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Trust Signals Reviewed
Data & Access
Community Pulse Active
Discussed on Hacker News, Reddit
- Mapbox Geospatial MCP Server — Hacker News · 105 pts
- List of recently added or updated Mapbox developer tutorials — Reddit · 9 pts
- github.com/mapbox/mcp-server — Reddit · 6 pts
3 mentions across 2 sources
Reviewer notes
Reviewed review. These are observations, not a security certification.
Official Mapbox package, v0.9.0, 325 GitHub stars, 18,109 monthly downloads. MIT license. Uses @turf/turf for geospatial operations (established). Pre-1.0 and evolving. Breadth moderate — high value for location industries, not universally applicable. 4 open issues = good quality signal.
API access requires scoped Mapbox token. Read-heavy operations, no infrastructure write access. patch-package in production dependencies is unusual — monitor. OpenTelemetry tracing included. Mapbox is a major established vendor.
2026-04-02: LIMITATION: Uses patch-package in production dependencies (unusual for supply chain integrity). High value only for location-centric use cases.
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Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Official Mapbox package, v0.9.0, 325 GitHub stars, 18,109 monthly downloads. MIT license. Uses @turf/turf for geospatial operations (established). Pre-1.0 and evolving. Breadth moderate — high value for location industries, not universally applicable. 4 open issues = good quality signal.