{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-mapbox","slug":"mapbox","name":"Mapbox","type":"mcp","url":"https://github.com/mapbox/mcp-server","page_url":"https://unfragile.ai/mapbox","categories":["mcp-servers"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-mapbox__cap_0","uri":"capability://tool.use.integration.forward.geocoding.with.address.normalization","name":"forward-geocoding-with-address-normalization","description":"Converts human-readable addresses and place names to geographic coordinates (latitude/longitude) using the Mapbox Geocoding V6 API. Implements schema-based input validation via Zod to normalize address strings, handles authentication through MAPBOX_ACCESS_TOKEN environment variable, and returns structured location data with confidence scores and bounding boxes for spatial disambiguation.","intents":["Convert a user-provided address string into map coordinates for location-based features","Resolve ambiguous place names to their canonical geographic coordinates","Build location autocomplete systems that suggest addresses as users type","Batch-process lists of addresses into coordinate datasets for geospatial analysis"],"best_for":["AI agents building location-aware applications","Teams building delivery/logistics platforms requiring address resolution","Developers integrating geospatial search into chat-based interfaces"],"limitations":["Requires valid Mapbox API key with geocoding permissions; rate-limited by Mapbox tier (default 600 requests/minute for free tier)","Address quality depends on input normalization; malformed or non-standard addresses may return low-confidence results","Returns only top result by default; disambiguation of multiple matches requires additional filtering logic"],"requires":["Node.js 16+","MAPBOX_ACCESS_TOKEN environment variable set with valid Mapbox API key","MCP client integration (Claude Desktop, VS Code, or Smolagents)"],"input_types":["text (address string)","structured data (address components: street, city, state, zip)"],"output_types":["structured data (GeoJSON Point with coordinates, place name, confidence metadata)"],"categories":["tool-use-integration","geospatial-intelligence"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mapbox__cap_1","uri":"capability://tool.use.integration.reverse.geocoding.coordinate.to.address","name":"reverse-geocoding-coordinate-to-address","description":"Converts geographic coordinates (latitude/longitude) back into human-readable addresses and location context using Mapbox Geocoding V6 API. Accepts coordinate pairs as input, validates them through Zod schemas, and returns hierarchical location information (street address, city, region, country) with proximity-based ranking for ambiguous locations.","intents":["Display human-readable addresses for map click events or GPS coordinates","Enrich location data from sensors or GPS devices with semantic place names","Build reverse-lookup features that identify what city/neighborhood a coordinate falls within","Generate location context for AI agents to understand geographic context of user actions"],"best_for":["Mobile and web applications with map interactions","IoT/sensor data pipelines requiring coordinate-to-address enrichment","AI agents needing to understand geographic context from coordinates"],"limitations":["Accuracy depends on Mapbox's underlying geographic database; remote or newly-developed areas may have incomplete address data","Returns results in order of proximity; multiple valid addresses may exist for a single coordinate","No batch reverse-geocoding endpoint; requires separate API call per coordinate"],"requires":["Node.js 16+","MAPBOX_ACCESS_TOKEN environment variable with valid Mapbox API key","MCP client integration"],"input_types":["structured data (latitude, longitude as numbers)"],"output_types":["structured data (address components, place hierarchy, feature type)"],"categories":["tool-use-integration","geospatial-intelligence"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mapbox__cap_10","uri":"capability://tool.use.integration.client.integration.with.claude.desktop.vs.code.smolagents","name":"client-integration-with-claude-desktop-vs-code-smolagents","description":"Provides pre-built integration configurations for popular AI clients: Claude Desktop (via claude_desktop_config.json), VS Code (via extension), and Smolagents (Python framework). Each integration handles MCP server discovery, tool registration, and client-specific configuration. Enables AI agents in these environments to invoke Mapbox geospatial tools without manual setup.","intents":["Set up Mapbox geospatial tools in Claude Desktop with minimal configuration","Integrate Mapbox APIs into VS Code workflows for location-aware development","Build Smolagents with Mapbox geospatial capabilities in Python","Enable non-technical users to access geospatial features through AI interfaces"],"best_for":["Claude Desktop users wanting location intelligence in conversations","VS Code users building location-aware development tools","Python developers using Smolagents framework","Teams standardizing on specific AI clients for geospatial workflows"],"limitations":["Each client requires separate configuration; no universal setup across all clients","Claude Desktop integration requires manual config file editing; no GUI setup wizard","VS Code extension requires separate installation and maintenance","Smolagents integration requires Python 3.8+ and specific dependency versions"],"requires":["Node.js 16+ for MCP server","Claude Desktop 0.1.0+ OR VS Code 1.80+ OR Python 3.8+ with Smolagents","MAPBOX_ACCESS_TOKEN environment variable","Client-specific configuration (claude_desktop_config.json, VS Code settings, etc.)"],"input_types":["configuration files (JSON for Claude Desktop, Python for Smolagents)"],"output_types":["integration setup (MCP server registration in client)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mapbox__cap_2","uri":"capability://tool.use.integration.multi.modal.route.calculation.with.traffic.awareness","name":"multi-modal-route-calculation-with-traffic-awareness","description":"Calculates optimal routes between two or more points supporting multiple transportation modes (driving, walking, cycling) with real-time traffic awareness. Uses Mapbox Directions API to compute turn-by-turn instructions, distance, duration, and geometry. Implements mode-specific routing logic and traffic-aware duration estimates through the MapboxApiBasedTool pattern with Zod schema validation for waypoints and routing parameters.","intents":["Generate turn-by-turn directions for delivery or navigation applications","Calculate travel time estimates for different transportation modes to compare options","Build multi-stop route optimization for logistics or ride-sharing platforms","Provide AI agents with realistic travel time data for planning and scheduling tasks"],"best_for":["Logistics and delivery platforms requiring route optimization","Navigation and mobility applications with multi-modal support","AI agents planning tasks with geographic constraints and travel time"],"limitations":["Traffic data only available for driving mode; walking and cycling use historical averages","Maximum 25 waypoints per request; multi-stop optimization requires external solver for large problems","Real-time traffic updates have ~5-15 minute latency; not suitable for live traffic avoidance","Routing respects Mapbox's road network; may not include private roads or very new infrastructure"],"requires":["Node.js 16+","MAPBOX_ACCESS_TOKEN with Directions API permissions","MCP client integration"],"input_types":["structured data (origin coordinates, destination coordinates, waypoints array, mode: 'driving'|'walking'|'cycling')"],"output_types":["structured data (route geometry as GeoJSON LineString, turn-by-turn instructions, distance in meters, duration in seconds)"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mapbox__cap_3","uri":"capability://tool.use.integration.travel.time.matrix.calculation.one.to.many.many.to.many","name":"travel-time-matrix-calculation-one-to-many-many-to-many","description":"Calculates efficient one-to-many, many-to-one, or many-to-many travel time and distance matrices between multiple origin and destination points using Mapbox Matrix API. Optimized for bulk distance/duration lookups without computing full route geometry, returning a matrix of travel times and distances. Implements coordinate validation and matrix parameter handling through MapboxApiBasedTool base class.","intents":["Calculate travel times from a single origin to multiple destinations for service area analysis","Build distance matrices for vehicle routing problems or facility location optimization","Determine which nearby locations are reachable within a time budget","Enable AI agents to reason about geographic accessibility and proximity relationships"],"best_for":["Logistics optimization and vehicle routing platforms","Location-based service discovery (find nearest N facilities)","Real estate and site selection analysis","AI agents solving geographic constraint satisfaction problems"],"limitations":["Returns only travel time and distance, not route geometry or turn-by-turn instructions","Maximum 25 origins × 25 destinations per request; larger matrices require multiple API calls","No traffic data in matrix results; uses average speeds for all modes","Computation time increases with matrix size; may timeout for very large requests"],"requires":["Node.js 16+","MAPBOX_ACCESS_TOKEN with Matrix API permissions","MCP client integration"],"input_types":["structured data (origins array of [lon, lat], destinations array of [lon, lat], mode: 'driving'|'walking'|'cycling')"],"output_types":["structured data (matrix of durations in seconds, matrix of distances in meters)"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mapbox__cap_4","uri":"capability://tool.use.integration.isochrone.reachability.area.generation","name":"isochrone-reachability-area-generation","description":"Generates isochrone polygons representing areas reachable from a point within specified time or distance constraints using Mapbox Isochrone API. Computes accessibility zones for different transportation modes and returns GeoJSON polygons that can be visualized or analyzed. Implements time/distance parameter validation and polygon generation through MapboxApiBasedTool pattern.","intents":["Visualize service areas for delivery or emergency response coverage","Analyze neighborhood accessibility by transit, walking, or driving time","Identify locations within a time budget for commute planning","Enable AI agents to reason about geographic accessibility and coverage areas"],"best_for":["Urban planning and accessibility analysis","Delivery and logistics service area mapping","Real estate analysis and commute time visualization","AI agents planning location-based services with coverage constraints"],"limitations":["Isochrone accuracy depends on road network quality; sparse rural areas may have inaccurate boundaries","Computation time increases with time/distance budget; very large isochrones (>60 min) may be slow","Returns simplified polygon boundaries; fine-grained street-level accuracy not guaranteed","No real-time traffic in isochrone calculation; uses average speeds for all modes"],"requires":["Node.js 16+","MAPBOX_ACCESS_TOKEN with Isochrone API permissions","MCP client integration"],"input_types":["structured data (center coordinates [lon, lat], contours array of time/distance values, mode: 'driving'|'walking'|'cycling')"],"output_types":["structured data (GeoJSON FeatureCollection with Polygon geometries for each contour)"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mapbox__cap_5","uri":"capability://tool.use.integration.point.of.interest.search.by.name.and.proximity","name":"point-of-interest-search-by-name-and-proximity","description":"Discovers specific points of interest (POIs) by name or brand within a geographic area using Mapbox Search API. Accepts search queries and optional proximity coordinates, returns ranked results with location data, categories, and metadata. Implements query normalization and proximity-based ranking through MapboxApiBasedTool with Zod schema validation for search parameters.","intents":["Find specific business locations (e.g., 'Starbucks near me') for navigation or discovery","Build location search features in chat interfaces or AI agents","Discover nearby services or amenities for travel planning","Enable AI agents to answer location-based queries about specific businesses or landmarks"],"best_for":["Location discovery and search features in applications","AI agents answering location-based queries","Travel and navigation applications with POI search","Business intelligence and competitive analysis tools"],"limitations":["Search results depend on Mapbox's POI database; coverage varies by region and POI type","Proximity ranking requires coordinates; search without location returns global results","Exact business information (hours, phone) may be incomplete or outdated","Search is text-based; fuzzy matching handles typos but may miss variations in business names"],"requires":["Node.js 16+","MAPBOX_ACCESS_TOKEN with Search API permissions","MCP client integration"],"input_types":["text (search query)","structured data (optional: proximity coordinates [lon, lat], search radius)"],"output_types":["structured data (array of POI results with name, coordinates, category, metadata)"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mapbox__cap_6","uri":"capability://tool.use.integration.category.based.poi.discovery.by.type","name":"category-based-poi-discovery-by-type","description":"Discovers points of interest by category (restaurants, hotels, gas stations, parks, etc.) within a geographic area using Mapbox Search API category filtering. Accepts category names or codes and optional proximity/bounding box constraints, returns ranked results filtered by POI type. Implements category validation and spatial filtering through MapboxApiBasedTool pattern.","intents":["Find all restaurants or hotels within a city or bounding box","Discover amenities by category for travel planning (gas stations, rest areas, etc.)","Build category-based location filters in search interfaces","Enable AI agents to discover services by type within geographic areas"],"best_for":["Travel and tourism applications with category-based discovery","AI agents planning trips with category-specific location needs","Location-based service platforms filtering by business type","Urban planning and amenity analysis tools"],"limitations":["Category taxonomy is Mapbox-defined; custom categories not supported","Results depend on POI database coverage; some categories may be sparse in certain regions","No filtering by business hours, ratings, or other attributes; requires post-processing","Category boundaries may be ambiguous (e.g., 'restaurant' vs. 'cafe')"],"requires":["Node.js 16+","MAPBOX_ACCESS_TOKEN with Search API permissions","MCP client integration"],"input_types":["text (category name or code)","structured data (optional: proximity coordinates, bounding box, limit)"],"output_types":["structured data (array of POI results filtered by category, with coordinates and metadata)"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mapbox__cap_7","uri":"capability://tool.use.integration.static.map.image.generation.with.overlays","name":"static-map-image-generation-with-overlays","description":"Generates customizable static map images with markers, overlays, and various map styles using Mapbox Static Images API. Accepts map configuration (center, zoom, style, markers, polygons) and returns PNG/JPEG images suitable for embedding in documents or chat interfaces. Implements style selection, marker positioning, and overlay rendering through MapboxApiBasedTool with Zod schema validation for image parameters.","intents":["Generate map visualizations for embedding in chat responses or reports","Create static map images with route overlays for navigation instructions","Visualize service areas, isochrones, or geographic data as map images","Enable AI agents to produce visual geographic context for users"],"best_for":["AI agents generating visual geographic context in chat interfaces","Report generation and document embedding with map visualizations","Navigation and delivery applications showing route maps","Location-based analytics dashboards"],"limitations":["Static images; no interactivity or zoom/pan after generation","Image size limited by Mapbox API (typically max 1280x1024 pixels)","Marker and overlay complexity affects image generation time","No real-time data in static images; requires regeneration for updated content"],"requires":["Node.js 16+","MAPBOX_ACCESS_TOKEN with Static Images API permissions","MCP client integration"],"input_types":["structured data (center coordinates, zoom level, style, markers array, overlay polygons)"],"output_types":["image (PNG or JPEG binary data)"],"categories":["tool-use-integration","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mapbox__cap_8","uri":"capability://tool.use.integration.mcp.protocol.adapter.with.unified.authentication","name":"mcp-protocol-adapter-with-unified-authentication","description":"Implements Model Context Protocol (MCP) server that adapts Mapbox REST APIs into standardized tool interface for AI clients (Claude Desktop, VS Code, Smolagents). Handles unified authentication via MAPBOX_ACCESS_TOKEN environment variable, tool registration, request routing, and response formatting. Uses abstract MapboxApiBasedTool base class implementing template method pattern for consistent error handling and API communication across all geospatial tools.","intents":["Enable AI agents to invoke Mapbox APIs through standardized MCP tool interface","Integrate Mapbox geospatial capabilities into Claude Desktop or VS Code without manual API calls","Build AI applications with location intelligence without exposing raw API complexity","Provide consistent authentication and error handling across all geospatial operations"],"best_for":["AI agent developers building location-aware applications","Teams integrating Mapbox into Claude Desktop or VS Code workflows","Developers building Smolagents with geospatial capabilities","Organizations standardizing on MCP for AI tool integration"],"limitations":["Requires Node.js 16+ runtime; not suitable for serverless or edge environments without adaptation","Single MAPBOX_ACCESS_TOKEN per server instance; no per-user API key management","MCP protocol overhead adds ~50-100ms latency per tool invocation vs. direct API calls","Tool discovery and registration happens at server startup; dynamic tool addition not supported"],"requires":["Node.js 16+","MAPBOX_ACCESS_TOKEN environment variable with valid Mapbox API key","MCP client (Claude Desktop, VS Code, or Smolagents) configured to connect to server"],"input_types":["structured data (MCP tool invocation with parameters matching Zod schemas)"],"output_types":["structured data (MCP tool result with Mapbox API response data)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mapbox__cap_9","uri":"capability://tool.use.integration.zod.schema.based.input.validation.and.type.safety","name":"zod-schema-based-input-validation-and-type-safety","description":"Implements runtime input validation using Zod schemas for all tool parameters, ensuring type safety and consistent error messages across all geospatial operations. Each tool defines inputSchema property with Zod validators for coordinates, addresses, modes, and other parameters. Validation occurs before API invocation, catching malformed inputs and providing structured error responses to AI clients.","intents":["Validate user inputs before sending to Mapbox APIs to prevent invalid requests","Provide structured error messages to AI agents when parameters are invalid","Enable type-safe tool invocation with automatic parameter validation","Catch coordinate format errors, invalid modes, and missing required parameters early"],"best_for":["AI agents invoking geospatial tools with untrusted or user-provided inputs","Teams requiring strict input validation before API calls","Developers building robust error handling for geospatial operations","Systems needing consistent validation error messages across all tools"],"limitations":["Validation adds ~10-20ms overhead per tool invocation","Zod schemas are TypeScript-specific; no runtime validation in other languages without reimplementation","Complex validation rules (e.g., coordinate bounds checking) require custom Zod refinements","Error messages are Zod-generated; customization requires schema modification"],"requires":["Node.js 16+","Zod library (included in Mapbox MCP Server dependencies)","MCP client integration"],"input_types":["structured data (any MCP tool parameters)"],"output_types":["structured data (validation success or error with details)"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":31,"verified":false,"data_access_risk":"high","permissions":["Node.js 16+","MAPBOX_ACCESS_TOKEN environment variable set with valid Mapbox API key","MCP client integration (Claude Desktop, VS Code, or Smolagents)","MAPBOX_ACCESS_TOKEN environment variable with valid Mapbox API key","MCP client integration","Node.js 16+ for MCP server","Claude Desktop 0.1.0+ OR VS Code 1.80+ OR Python 3.8+ with Smolagents","MAPBOX_ACCESS_TOKEN environment variable","Client-specific configuration (claude_desktop_config.json, VS Code settings, etc.)","MAPBOX_ACCESS_TOKEN with Directions API permissions"],"failure_modes":["Requires valid Mapbox API key with geocoding permissions; rate-limited by Mapbox tier (default 600 requests/minute for free tier)","Address quality depends on input normalization; malformed or non-standard addresses may return low-confidence results","Returns only top result by default; disambiguation of multiple matches requires additional filtering logic","Accuracy depends on Mapbox's underlying geographic database; remote or newly-developed areas may have incomplete address data","Returns results in order of proximity; multiple valid addresses may exist for a single coordinate","No batch reverse-geocoding endpoint; requires separate API call per coordinate","Each client requires separate configuration; no universal setup across all clients","Claude Desktop integration requires manual config file editing; no GUI setup wizard","VS Code extension requires separate installation and maintenance","Smolagents integration requires Python 3.8+ and specific dependency versions","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.47,"ecosystem":0.39999999999999997,"match_graph":0.25,"freshness":0.52,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-06-17T09:51:03.578Z","last_scraped_at":"2026-05-03T14:00:15.503Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=mapbox","compare_url":"https://unfragile.ai/compare?artifact=mapbox"}},"signature":"+b2vh3L8fTqf2JP/cJusXgKIF0XlSGAd6bg+N7DXEGparjy4pAM0uYCfQS5cl2idk/iIKyz5Nm5UIbv06YBNBA==","signedAt":"2026-06-20T11:01:31.829Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/mapbox","artifact":"https://unfragile.ai/mapbox","verify":"https://unfragile.ai/api/v1/verify?slug=mapbox","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}