What can @mapbox/mcp-server do?

mapbox geocoding service exposure via mcp protocol, mapbox static map image generation via mcp, mapbox directions and routing via mcp, mapbox matrix service for distance/duration computation, mapbox isochrone generation for accessibility analysis, mcp server lifecycle management and tool registration, mapbox tile and vector data access via mcp

@mapbox/mcp-server

MCP ServerFree

Mapbox MCP server.

Open Source

/ 100

7 capabilities

Capabilities7 decomposed

mapbox geocoding service exposure via mcp protocol

Medium confidence

Exposes Mapbox Geocoding API as an MCP tool, allowing Claude and other MCP clients to perform forward and reverse geocoding operations. Implements MCP's tool schema interface to wrap Mapbox REST endpoints, translating natural language requests into structured geocoding queries with support for proximity bias, language preferences, and result filtering by feature type.

Solves for

I want Claude to convert addresses into coordinates for mapping applicationsI need to reverse-geocode coordinates back to human-readable place names within an agent workflowI want to build a location-aware chatbot that understands place names and can resolve them to geographic coordinates

Best for

AI agents and Claude instances that need location intelligence without direct API integration

Teams building location-based applications with LLM-driven interfaces

Developers prototyping geospatial chatbots and location-aware assistants

Requires

Mapbox API token with Geocoding API access enabled

MCP client compatible with Node.js tool protocol (Claude Desktop, Cline, etc.)

Network connectivity to Mapbox API endpoints

Limitations

Rate-limited by Mapbox API quotas (default 600 requests/minute for free tier)

Geocoding accuracy depends on Mapbox's underlying data and may vary by region

No built-in result caching — repeated queries for identical addresses incur API costs

What makes it unique

Implements MCP's standardized tool schema to wrap Mapbox Geocoding API, enabling seamless integration with Claude and other MCP-compatible clients without requiring custom API bindings or authentication management in client code. Uses MCP's resource and tool discovery mechanisms to expose Mapbox capabilities as first-class LLM tools.

vs alternatives

Provides native MCP integration for Mapbox geocoding, eliminating the need for custom function-calling implementations or REST API wrappers that other LLM frameworks require.

mapbox static map image generation via mcp

Medium confidence

Exposes Mapbox Static Images API through MCP tools, allowing Claude to generate map images with custom styling, markers, overlays, and zoom levels. Translates high-level map requests (e.g., 'show me a map of San Francisco with markers at these coordinates') into Mapbox Static Images API calls with support for custom styles, attribution, and multiple output formats.

Solves for

I want Claude to generate map images to embed in documents or chat responsesI need to visualize multiple locations on a single map image with custom markers and labelsI want to create styled map snapshots for specific regions with custom color schemes and overlays

Best for

Chatbot and agent developers who need to generate visual map outputs

Teams building location-based reporting or documentation tools

Developers creating map-heavy dashboards or visualization pipelines

Requires

Mapbox API token with Static Images API access

MCP client with image output support

Understanding of Mapbox style IDs and custom style URLs

Limitations

Static images only — no interactive map functionality or user panning/zooming

Image dimensions and complexity constrained by Mapbox API limits (max 1280x1024 pixels)

Marker and overlay complexity limited by URL parameter length constraints

What makes it unique

Bridges MCP's tool interface with Mapbox Static Images API, enabling Claude to generate map visualizations programmatically without requiring image generation models or custom rendering pipelines. Handles URL encoding, parameter validation, and style management transparently.

vs alternatives

Provides direct Mapbox map generation without relying on generic image generation models, ensuring cartographic accuracy and Mapbox-specific styling capabilities that generic image generators cannot match.

mapbox directions and routing via mcp

Medium confidence

Exposes Mapbox Directions API as MCP tools, enabling Claude to compute optimal routes between locations with support for multiple routing profiles (driving, walking, cycling), traffic-aware routing, and waypoint optimization. Translates route requests into Mapbox Directions API calls and returns turn-by-turn instructions, distance/duration estimates, and geometry data.

Solves for

I want Claude to calculate the fastest route between two addresses for delivery optimizationI need turn-by-turn directions embedded in a chatbot responseI want to find the shortest walking or cycling route for multi-stop journeys

Best for

Logistics and delivery optimization agents

Travel planning chatbots and assistants

Navigation-aware AI systems that need to understand travel time and distance

Requires

Mapbox API token with Directions API access

Valid coordinates or addresses (resolved via geocoding capability)

MCP client capable of handling structured route data

Limitations

Routing profiles limited to Mapbox's supported modes (driving, walking, cycling, driving-traffic)

Real-time traffic data only available in certain regions and with premium API tiers

Waypoint optimization limited to 25 waypoints per request

What makes it unique

Integrates Mapbox Directions API as an MCP tool, allowing Claude to reason about travel routes and optimize multi-stop journeys. Supports traffic-aware routing and waypoint optimization, enabling agents to make informed decisions about logistics and navigation.

vs alternatives

Provides traffic-aware routing and multi-waypoint optimization that generic routing libraries lack, with seamless MCP integration for agent-based decision making.

mapbox matrix service for distance/duration computation

Medium confidence

Exposes Mapbox Matrix API through MCP, computing distance and duration matrices between multiple origin and destination points. Implements efficient batch distance calculations for many-to-many location pairs, supporting traffic-aware estimates and multiple routing profiles. Returns structured matrices suitable for optimization algorithms and travel time analysis.

Solves for

I want to compute travel times between all pairs of delivery locations for route optimizationI need to find the nearest service center to a customer location from a list of candidatesI want to analyze accessibility by computing travel times from a central point to many destinations

Best for

Logistics and supply chain optimization agents

Location-based service matching systems

Accessibility analysis and urban planning tools

Requires

Mapbox API token with Matrix API access

Multiple valid coordinates (origins and destinations)

MCP client capable of processing matrix-structured data

Limitations

Matrix size limited to 25x25 for free tier, 100x100 for premium

Asymmetric matrices (different travel times in each direction) require separate API calls

No caching of computed matrices — repeated queries incur API costs

What makes it unique

Provides batch distance/duration computation via MCP, enabling Claude to perform many-to-many location analysis without sequential API calls. Supports traffic-aware matrices for realistic travel time estimation in optimization contexts.

vs alternatives

Enables efficient batch distance computation that sequential routing calls cannot match, with traffic awareness for realistic logistics optimization.

mapbox isochrone generation for accessibility analysis

Medium confidence

Exposes Mapbox Isochrone API through MCP tools, generating reachability polygons that show areas accessible within specified time or distance thresholds from a given location. Supports multiple routing profiles and contour levels, returning GeoJSON polygons suitable for visualization or spatial analysis. Enables accessibility-based location analysis and service coverage assessment.

Solves for

I want to visualize the area reachable by car within 30 minutes from a locationI need to assess service coverage by computing isochrones for multiple service centersI want to find locations that are within a specific travel time from a central point

Best for

Urban planning and accessibility analysis tools

Service coverage and facility location optimization

Real estate and location intelligence applications

Requires

Mapbox API token with Isochrone API access

Valid origin coordinate

MCP client with GeoJSON visualization support

Limitations

Isochrone generation slower than routing (typically 2-5 seconds per request)

Contour accuracy depends on underlying road network data

Limited to single origin point per request — multiple isochrones require separate calls

What makes it unique

Integrates Mapbox Isochrone API as an MCP tool, enabling Claude to generate and reason about accessibility polygons for location-based analysis. Supports multiple contour levels and routing profiles for nuanced accessibility assessment.

vs alternatives

Provides accessibility-based spatial analysis that routing-only approaches cannot offer, with seamless MCP integration for location intelligence workflows.

mcp server lifecycle management and tool registration

Medium confidence

Implements the MCP server protocol for Node.js, handling client connections, tool schema registration, and request/response routing. Manages authentication via Mapbox API tokens, implements error handling for API failures, and provides structured logging for debugging. Automatically exposes all Mapbox capabilities as discoverable MCP tools with proper schema validation.

Solves for

I want to run a Mapbox MCP server that Claude Desktop can connect toI need to manage Mapbox API credentials securely in an MCP contextI want to debug MCP tool calls and see what requests are being sent to Mapbox

Best for

Developers deploying Mapbox-powered agents locally or in production

Teams integrating Mapbox into existing MCP-based AI systems

DevOps engineers managing MCP server infrastructure

Requires

Node.js 16+ runtime

Mapbox API token in environment variable (MAPBOX_ACCESS_TOKEN)

MCP client compatible with Node.js server protocol

Limitations

Single-threaded Node.js event loop may bottleneck under high concurrent load

No built-in load balancing or horizontal scaling — requires external orchestration

Credentials stored in environment variables — no built-in secrets management

What makes it unique

Implements the full MCP server lifecycle for Mapbox, handling protocol negotiation, tool schema registration, and request routing. Manages Mapbox API authentication transparently, allowing clients to call Mapbox tools without managing credentials.

vs alternatives

Provides a complete, production-ready MCP server implementation for Mapbox, eliminating the need for custom protocol implementations or manual tool schema management.

mapbox tile and vector data access via mcp

Medium confidence

Exposes Mapbox Tilesets and Vector Tiles APIs through MCP, enabling Claude to query raw geographic data from Mapbox tilesets. Supports querying features by bounding box or point, filtering by properties, and retrieving vector tile data for custom analysis. Enables data-driven decision making based on underlying geographic datasets.

Solves for

I want Claude to query building footprints or land use data from a Mapbox tilesetI need to analyze geographic features in a specific region programmaticallyI want to extract property data from vector tiles for spatial analysis

Best for

Geographic data analysis and spatial intelligence applications

Custom mapping and GIS-like workflows within AI agents

Real estate and urban planning analysis tools

Requires

Mapbox API token with Tilesets API access

Tileset IDs for datasets to query

Knowledge of vector tile layer structure and properties

Limitations

Requires knowledge of tileset IDs and layer names — discovery not automated

Vector tile queries limited by bounding box size and feature count

No direct SQL-like querying — requires client-side filtering of returned features

What makes it unique

Provides MCP-based access to Mapbox vector tile data, enabling Claude to query and analyze raw geographic datasets without requiring GIS software. Supports property-based filtering and spatial queries on tileset features.

vs alternatives

Enables direct access to Mapbox tileset data through MCP, providing geographic data analysis capabilities that generic APIs cannot offer.

Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.

Related Artifactssharing capabilities

Artifacts that share capabilities with @mapbox/mcp-server, ranked by overlap. Discovered automatically through the match graph.

MCP Server32

@mapbox/mcp-server

Mapbox MCP server.

mapbox geocoding service exposure via mcp protocolmapbox directions and routing via mcpmapbox static maps image generation via mcpmcp protocol server implementation for mapbox services

4 shared capabilities

MCP Server25

Mapbox

** - Unlock geospatial intelligence through Mapbox APIs like geocoding, POI search, directions, isochrones and more.

mcp-protocol-adapter-with-unified-authenticationstatic-map-image-generation-with-overlaysforward-geocoding-with-address-normalizationmulti-modal-route-calculation-with-traffic-awareness

4 shared capabilities

MCP Server46

Google Maps MCP Server

Access Google Maps geocoding, directions, and place data via MCP.

route planning and directions with multi-waypoint supportgeocoding and reverse geocoding with address-to-coordinates mappingmcp protocol integration and tool schema exposure

3 shared capabilities

MCP Server22

Google Maps

** - Location services, directions, and place details.

directions-and-route-planningmcp-protocol-tool-invocationgeocoding-and-reverse-geocoding

3 shared capabilities

MCP Server29

@amap/amap-maps-mcp-server

MCP server for using the AMap Maps API

mcp-based amap geocoding and reverse geocodingmcp-based amap route planning and distance calculation

2 shared capabilities

MCP Server21

@modelcontextprotocol/server-map

MCP App Server example with CesiumJS 3D globe and geocoding

mcp resource exposure for map layers and basemapsmcp server initialization with cesiumjs 3d globe integration

2 shared capabilities

Best For

✓AI agents and Claude instances that need location intelligence without direct API integration
✓Teams building location-based applications with LLM-driven interfaces
✓Developers prototyping geospatial chatbots and location-aware assistants
✓Chatbot and agent developers who need to generate visual map outputs
✓Teams building location-based reporting or documentation tools
✓Developers creating map-heavy dashboards or visualization pipelines
✓Logistics and delivery optimization agents
✓Travel planning chatbots and assistants

Known Limitations

⚠Rate-limited by Mapbox API quotas (default 600 requests/minute for free tier)
⚠Geocoding accuracy depends on Mapbox's underlying data and may vary by region
⚠No built-in result caching — repeated queries for identical addresses incur API costs
⚠Batch geocoding not supported — each address requires a separate API call
⚠Static images only — no interactive map functionality or user panning/zooming
⚠Image dimensions and complexity constrained by Mapbox API limits (max 1280x1024 pixels)

Requirements

Mapbox API token with Geocoding API access enabledMCP client compatible with Node.js tool protocol (Claude Desktop, Cline, etc.)Network connectivity to Mapbox API endpointsMapbox API token with Static Images API accessMCP client with image output supportUnderstanding of Mapbox style IDs and custom style URLsMapbox API token with Directions API accessValid coordinates or addresses (resolved via geocoding capability)

Input / Output

Accepts: text (address strings for forward geocoding), coordinates (longitude, latitude tuples for reverse geocoding), structured parameters (proximity, language, feature types), text (natural language map descriptions), coordinates (latitude/longitude for map center and markers), structured parameters (zoom level, style ID, marker positions, overlay paths), coordinates (start and end points as lat/lng tuples), text (address strings that must be geocoded first), structured parameters (routing profile, waypoints, alternatives flag, traffic mode), coordinates (arrays of origin and destination lat/lng tuples), structured parameters (routing profile, traffic mode), coordinates (single origin point as lat/lng), structured parameters (time/distance contours, routing profile), MCP protocol messages (tool calls with parameters), configuration (environment variables for API tokens), coordinates (bounding boxes or points for spatial queries), structured parameters (tileset IDs, layer names, property filters)

Produces: structured JSON (GeoJSON-compatible feature objects with coordinates, place names, feature types), text (human-readable location descriptions), image (PNG or JPEG map images), URLs (direct Mapbox Static Images API URLs for embedding), structured JSON (route geometry, turn-by-turn instructions, distance/duration), text (human-readable directions summary), structured JSON (distance and duration matrices in seconds/meters), text (summary statistics and nearest-neighbor analysis), structured JSON (GeoJSON FeatureCollection with isochrone polygons), text (accessibility summary and coverage statistics), MCP protocol responses (tool results, errors, schema definitions), logs (structured or unstructured server logs), structured JSON (GeoJSON features with properties), text (analysis summaries and statistics)

UnfragileRank

Adoption37%(30% weight)

Quality16%(25% weight)

Ecosystem36%(25% weight)

Match Graph10%(15% weight)

Freshness75%(5% weight)

UnfragileRank is computed from adoption signals, documentation quality, ecosystem connectivity, match graph feedback, and freshness. No artifact can pay for a higher rank.

Type: MCP Server

7 capabilities

Visit @mapbox/mcp-server→

Package Details

npm

Registry

0.11.0

Version

3,675

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Mapbox MCP server.

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Capabilities7 decomposed

mapbox geocoding service exposure via mcp protocol

Medium confidence

Solves for

Best for

AI agents and Claude instances that need location intelligence without direct API integration

Teams building location-based applications with LLM-driven interfaces

Developers prototyping geospatial chatbots and location-aware assistants

Requires

Mapbox API token with Geocoding API access enabled

MCP client compatible with Node.js tool protocol (Claude Desktop, Cline, etc.)

Network connectivity to Mapbox API endpoints

Limitations

Rate-limited by Mapbox API quotas (default 600 requests/minute for free tier)

Geocoding accuracy depends on Mapbox's underlying data and may vary by region

No built-in result caching — repeated queries for identical addresses incur API costs

What makes it unique

vs alternatives

Provides native MCP integration for Mapbox geocoding, eliminating the need for custom function-calling implementations or REST API wrappers that other LLM frameworks require.

mapbox static map image generation via mcp

Medium confidence

Solves for

Best for

Chatbot and agent developers who need to generate visual map outputs

Teams building location-based reporting or documentation tools

Developers creating map-heavy dashboards or visualization pipelines

Requires

Mapbox API token with Static Images API access

MCP client with image output support

Understanding of Mapbox style IDs and custom style URLs

Limitations

Static images only — no interactive map functionality or user panning/zooming

Image dimensions and complexity constrained by Mapbox API limits (max 1280x1024 pixels)

Marker and overlay complexity limited by URL parameter length constraints

What makes it unique

vs alternatives

mapbox directions and routing via mcp

Medium confidence

Solves for

Best for

Logistics and delivery optimization agents

Travel planning chatbots and assistants

Navigation-aware AI systems that need to understand travel time and distance

Requires

Mapbox API token with Directions API access

Valid coordinates or addresses (resolved via geocoding capability)

MCP client capable of handling structured route data

Limitations

Routing profiles limited to Mapbox's supported modes (driving, walking, cycling, driving-traffic)

Real-time traffic data only available in certain regions and with premium API tiers

Waypoint optimization limited to 25 waypoints per request

What makes it unique

vs alternatives

Provides traffic-aware routing and multi-waypoint optimization that generic routing libraries lack, with seamless MCP integration for agent-based decision making.

mapbox matrix service for distance/duration computation

Medium confidence

Solves for

Best for

Logistics and supply chain optimization agents

Location-based service matching systems

Accessibility analysis and urban planning tools

Requires

Mapbox API token with Matrix API access

Multiple valid coordinates (origins and destinations)

MCP client capable of processing matrix-structured data

Limitations

Matrix size limited to 25x25 for free tier, 100x100 for premium

Asymmetric matrices (different travel times in each direction) require separate API calls

No caching of computed matrices — repeated queries incur API costs

What makes it unique

vs alternatives

Enables efficient batch distance computation that sequential routing calls cannot match, with traffic awareness for realistic logistics optimization.

mapbox isochrone generation for accessibility analysis

Medium confidence

Solves for

Best for

Urban planning and accessibility analysis tools

Service coverage and facility location optimization

Real estate and location intelligence applications

Requires

Mapbox API token with Isochrone API access

Valid origin coordinate

MCP client with GeoJSON visualization support

Limitations

Isochrone generation slower than routing (typically 2-5 seconds per request)

Contour accuracy depends on underlying road network data

Limited to single origin point per request — multiple isochrones require separate calls

What makes it unique

vs alternatives

Provides accessibility-based spatial analysis that routing-only approaches cannot offer, with seamless MCP integration for location intelligence workflows.

mcp server lifecycle management and tool registration

Medium confidence

Solves for

Best for

Developers deploying Mapbox-powered agents locally or in production

Teams integrating Mapbox into existing MCP-based AI systems

DevOps engineers managing MCP server infrastructure

Requires

Node.js 16+ runtime

Mapbox API token in environment variable (MAPBOX_ACCESS_TOKEN)

MCP client compatible with Node.js server protocol

Limitations

Single-threaded Node.js event loop may bottleneck under high concurrent load

No built-in load balancing or horizontal scaling — requires external orchestration

Credentials stored in environment variables — no built-in secrets management

What makes it unique

vs alternatives

Provides a complete, production-ready MCP server implementation for Mapbox, eliminating the need for custom protocol implementations or manual tool schema management.

mapbox tile and vector data access via mcp

Medium confidence

Solves for

Best for

Geographic data analysis and spatial intelligence applications

Custom mapping and GIS-like workflows within AI agents

Real estate and urban planning analysis tools

Requires

Mapbox API token with Tilesets API access

Tileset IDs for datasets to query

Knowledge of vector tile layer structure and properties

Limitations

Requires knowledge of tileset IDs and layer names — discovery not automated

Vector tile queries limited by bounding box size and feature count

No direct SQL-like querying — requires client-side filtering of returned features

What makes it unique

vs alternatives

Enables direct access to Mapbox tileset data through MCP, providing geographic data analysis capabilities that generic APIs cannot offer.

Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.

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Compare →

@mapbox/mcp-server

Capabilities7 decomposed

mapbox geocoding service exposure via mcp protocol

mapbox static map image generation via mcp

mapbox directions and routing via mcp

mapbox matrix service for distance/duration computation

mapbox isochrone generation for accessibility analysis

mcp server lifecycle management and tool registration

mapbox tile and vector data access via mcp

Related Artifactssharing capabilities

@mapbox/mcp-server

Mapbox

Google Maps MCP Server

Google Maps

@amap/amap-maps-mcp-server

@modelcontextprotocol/server-map

Best For

Known Limitations

Requirements

Input / Output

UnfragileRank

Package Details

About

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@mapbox/mcp-server

Capabilities7 decomposed

mapbox geocoding service exposure via mcp protocol

mapbox static map image generation via mcp

mapbox directions and routing via mcp

mapbox matrix service for distance/duration computation

mapbox isochrone generation for accessibility analysis

mcp server lifecycle management and tool registration

mapbox tile and vector data access via mcp

Related Artifactssharing capabilities

@mapbox/mcp-server

Mapbox

Google Maps MCP Server

Google Maps

@amap/amap-maps-mcp-server

@modelcontextprotocol/server-map

Best For

Known Limitations

Requirements

Input / Output

UnfragileRank

Package Details

About

Categories

Alternatives to @mapbox/mcp-server

Are you the builder of @mapbox/mcp-server?

Get the weekly brief

Data Sources