{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"npm_npm-modelcontextprotocolserver-map","slug":"npm-modelcontextprotocolserver-map","name":"@modelcontextprotocol/server-map","type":"mcp","url":"https://www.npmjs.com/package/@modelcontextprotocol/server-map","page_url":"https://unfragile.ai/npm-modelcontextprotocolserver-map","categories":["mcp-servers"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"npm_npm-modelcontextprotocolserver-map__cap_0","uri":"capability://tool.use.integration.mcp.server.initialization.with.cesiumjs.3d.globe.integration","name":"mcp server initialization with cesiumjs 3d globe integration","description":"Bootstraps a Model Context Protocol server that exposes a CesiumJS-based 3D globe as a tool accessible to LLM clients. The server implements the MCP transport layer (stdio or HTTP) and registers the globe visualization as a callable resource, allowing LLM agents to request map rendering and spatial visualization without direct browser access. Uses CesiumJS's WebGL rendering engine for client-side 3D visualization while the MCP server acts as a coordination layer between LLM context and the visualization client.","intents":["I want to give my LLM agent the ability to visualize geographic data on a 3D globe","I need to expose a CesiumJS map as a tool that an AI can invoke to show spatial information","I want to build an MCP server that bridges LLM reasoning with interactive 3D map visualization"],"best_for":["LLM application developers building geospatial reasoning agents","Teams building location-aware AI assistants with visual feedback","Developers prototyping MCP servers with rich visualization requirements"],"limitations":["CesiumJS rendering happens client-side only — server cannot generate static map images or perform server-side spatial analysis","No built-in persistence of map state or visualization history — each invocation starts fresh","Limited to browser-based clients that can load CesiumJS; no headless/CLI-only usage","Requires explicit MCP client implementation to display the globe — not a standalone web service"],"requires":["Node.js 16+","MCP client that supports tool/resource invocation","Browser with WebGL support for CesiumJS rendering","Cesium Ion API key (optional, for premium basemaps and data)"],"input_types":["geographic coordinates (lat/lon)","GeoJSON features","map configuration objects (zoom, center, layers)"],"output_types":["rendered 3D globe visualization","MCP tool schema definition","map state snapshots"],"categories":["tool-use-integration","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-modelcontextprotocolserver-map__cap_1","uri":"capability://tool.use.integration.geocoding.tool.with.reverse.and.forward.lookup","name":"geocoding tool with reverse and forward lookup","description":"Exposes geocoding capabilities (address-to-coordinates and coordinates-to-address) as MCP tools that LLM agents can invoke. The server wraps a geocoding provider (likely OpenStreetMap Nominatim or similar) and translates LLM requests into structured geocoding queries, returning standardized geographic data (latitude, longitude, address components, place names). Implements request batching and caching to reduce API calls and latency for repeated geocoding operations.","intents":["I want my LLM agent to convert user-provided addresses into map coordinates","I need the agent to identify what location corresponds to a given lat/lon pair","I want to enable the agent to resolve place names and landmarks to geographic coordinates for visualization"],"best_for":["Location-based AI assistants and chatbots","Agents that need to resolve natural language place references to coordinates","Applications combining LLM reasoning with geospatial data lookup"],"limitations":["Geocoding accuracy depends on underlying provider (Nominatim, etc.) — may fail or return ambiguous results for informal place names or misspellings","Rate limiting on free geocoding APIs (Nominatim: ~1 req/sec) — high-volume agent usage may require paid tier or self-hosted instance","No built-in fuzzy matching or spell correction — agent must provide reasonably formatted input","Reverse geocoding may return multiple candidate addresses for a single coordinate; server must implement tie-breaking logic"],"requires":["Node.js 16+","Network access to geocoding provider API (Nominatim, Google Maps, etc.)","MCP client capable of invoking tools with string/number parameters"],"input_types":["address string (forward geocoding)","latitude/longitude pair (reverse geocoding)","place name or landmark reference"],"output_types":["structured geographic data: {latitude, longitude, address, place_name, country, region}","confidence/accuracy score","list of candidate results (for ambiguous queries)"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-modelcontextprotocolserver-map__cap_2","uri":"capability://tool.use.integration.mcp.resource.exposure.for.map.layers.and.basemaps","name":"mcp resource exposure for map layers and basemaps","description":"Exposes CesiumJS map layers, basemaps, and geographic datasets as MCP resources that clients can query and configure. The server maintains a registry of available layers (satellite imagery, terrain, administrative boundaries, custom GeoJSON layers) and allows LLM agents to request specific layer configurations, enabling dynamic map composition. Uses MCP's resource protocol to advertise available layers and their metadata, allowing clients to discover and apply layers without hardcoding layer names.","intents":["I want the agent to dynamically select which map layers to display based on the query context","I need to expose a catalog of available geographic datasets that the agent can choose from","I want the agent to compose custom map visualizations by combining multiple layers"],"best_for":["Multi-layer geospatial applications where layer selection is context-dependent","Teams building flexible map visualization tools that adapt to user intent","Agents that need to reason about which geographic data sources are relevant to a query"],"limitations":["Layer availability and performance depend on CesiumJS provider integrations — not all GIS formats natively supported","No server-side layer rendering or pre-computation — all rendering happens client-side, limiting scalability for very large datasets","Layer metadata must be manually curated and registered in the server — no automatic layer discovery from external GIS services","Client must support MCP resource protocol to discover and apply layers; older MCP clients may not support this"],"requires":["Node.js 16+","CesiumJS library with configured Ion access token (for premium basemaps)","MCP client with resource protocol support","GeoJSON or other supported geographic data format for custom layers"],"input_types":["layer identifier (string)","layer configuration object (opacity, visibility, style)","GeoJSON feature collection (for custom layers)"],"output_types":["layer metadata: {name, description, type, data_source, supported_formats}","list of available layers","rendered map with applied layers"],"categories":["tool-use-integration","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-modelcontextprotocolserver-map__cap_3","uri":"capability://tool.use.integration.spatial.query.execution.through.mcp.tools","name":"spatial query execution through mcp tools","description":"Provides MCP tools that allow LLM agents to execute spatial queries (point-in-polygon, distance calculation, bounding box intersection, nearest neighbor search) against geographic datasets. The server implements spatial indexing (likely using a library like Turf.js or PostGIS for complex queries) to efficiently process geometric operations. Agents can invoke these tools to reason about geographic relationships without needing to understand GIS concepts, with the server translating natural language spatial intent into structured queries.","intents":["I want the agent to determine if a location falls within a geographic boundary","I need the agent to find the nearest point of interest to a given coordinate","I want the agent to calculate distances between locations for routing or proximity analysis"],"best_for":["Location-aware agents that need to reason about geographic containment and proximity","Applications combining LLM reasoning with spatial analysis (e.g., 'find restaurants near me')","Agents that need to filter geographic datasets based on spatial relationships"],"limitations":["Spatial query performance degrades with large datasets (100k+ features) without proper indexing — may require PostGIS or similar for production use","Turf.js-based queries are approximate for spherical geometry — high-precision geodetic calculations require more sophisticated libraries","No built-in support for complex spatial operations (union, intersection, buffer) — limited to basic point/polygon/distance queries","Results depend on data quality — malformed GeoJSON or invalid geometries will cause query failures"],"requires":["Node.js 16+","Turf.js or similar spatial library","GeoJSON datasets loaded into memory or connected to spatial database","MCP client capable of invoking tools with geographic parameters"],"input_types":["point geometry: {latitude, longitude}","polygon geometry: GeoJSON Polygon or MultiPolygon","distance value (meters or kilometers)","feature collection for querying"],"output_types":["boolean (point-in-polygon result)","numeric distance (meters)","list of matching features (nearest neighbor, bounding box intersection)","spatial relationship description"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-modelcontextprotocolserver-map__cap_4","uri":"capability://tool.use.integration.mcp.server.transport.configuration.stdio.and.http","name":"mcp server transport configuration (stdio and http)","description":"Configures the MCP server to communicate with clients via either stdio (for local/CLI integration) or HTTP (for remote/web clients). The server implements both transport layers, allowing flexible deployment: stdio for tight integration with local LLM tools, HTTP for cloud-based or multi-client scenarios. Handles MCP protocol framing, message serialization (JSON), and connection lifecycle management for both transports, with configurable endpoints and authentication.","intents":["I want to run this MCP server locally and connect it to my LLM CLI tool","I need to deploy the map server as a remote service accessible to multiple LLM clients","I want to choose between stdio and HTTP transport based on my deployment architecture"],"best_for":["Developers building local LLM agent toolchains","Teams deploying MCP servers to cloud infrastructure","Applications requiring flexible transport layer configuration"],"limitations":["Stdio transport limited to single client per process — horizontal scaling requires multiple server instances","HTTP transport adds network latency and requires authentication/TLS configuration for production use","No built-in load balancing or connection pooling — high-concurrency scenarios may require reverse proxy","Message size limits may apply depending on transport (HTTP: configurable; stdio: OS pipe buffer limits)"],"requires":["Node.js 16+","For stdio: local process spawning capability","For HTTP: network access and port availability","MCP client library compatible with chosen transport"],"input_types":["transport type selection: 'stdio' or 'http'","HTTP configuration: {host, port, auth_token}","MCP protocol messages (JSON)"],"output_types":["MCP protocol responses (JSON)","server status and health information"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-modelcontextprotocolserver-map__cap_5","uri":"capability://tool.use.integration.tool.schema.generation.and.validation.for.mcp.clients","name":"tool schema generation and validation for mcp clients","description":"Automatically generates MCP-compliant tool schemas for all exposed capabilities (geocoding, spatial queries, layer management) and validates incoming tool invocations against these schemas. The server implements JSON Schema validation for tool parameters, ensuring type safety and providing clear error messages when clients send malformed requests. Schemas are advertised to clients via the MCP tools list, enabling client-side UI generation and parameter validation before sending requests.","intents":["I want my MCP client to discover what tools are available and their parameter requirements","I need to validate tool invocations before executing them to catch client errors early","I want to auto-generate documentation for the tools exposed by this server"],"best_for":["MCP server developers building tool-rich applications","Teams building MCP clients that need to discover and validate tools dynamically","Applications requiring strict parameter validation and type safety"],"limitations":["JSON Schema validation adds ~5-10ms overhead per tool invocation — not suitable for ultra-low-latency scenarios","Complex nested schemas may be difficult for LLM clients to parse and use correctly","No built-in support for conditional schemas (e.g., different parameters based on tool mode) — requires custom validation logic","Schema generation must be manually maintained if tool signatures change — no automatic schema updates"],"requires":["Node.js 16+","JSON Schema validation library (e.g., ajv)","MCP client that supports tool schema discovery"],"input_types":["tool definition objects with parameter specifications","tool invocation requests with parameters"],"output_types":["JSON Schema definitions for each tool","validation results: {valid: boolean, errors: []}","tool list with schemas for client discovery"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":24,"verified":false,"data_access_risk":"high","permissions":["Node.js 16+","MCP client that supports tool/resource invocation","Browser with WebGL support for CesiumJS rendering","Cesium Ion API key (optional, for premium basemaps and data)","Network access to geocoding provider API (Nominatim, Google Maps, etc.)","MCP client capable of invoking tools with string/number parameters","CesiumJS library with configured Ion access token (for premium basemaps)","MCP client with resource protocol support","GeoJSON or other supported geographic data format for custom layers","Turf.js or similar spatial library"],"failure_modes":["CesiumJS rendering happens client-side only — server cannot generate static map images or perform server-side spatial analysis","No built-in persistence of map state or visualization history — each invocation starts fresh","Limited to browser-based clients that can load CesiumJS; no headless/CLI-only usage","Requires explicit MCP client implementation to display the globe — not a standalone web service","Geocoding accuracy depends on underlying provider (Nominatim, etc.) — may fail or return ambiguous results for informal place names or misspellings","Rate limiting on free geocoding APIs (Nominatim: ~1 req/sec) — high-volume agent usage may require paid tier or self-hosted instance","No built-in fuzzy matching or spell correction — agent must provide reasonably formatted input","Reverse geocoding may return multiple candidate addresses for a single coordinate; server must implement tie-breaking logic","Layer availability and performance depend on CesiumJS provider integrations — not all GIS formats natively supported","No server-side layer rendering or pre-computation — all rendering happens client-side, limiting scalability for very large datasets","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.22,"ecosystem":0.3,"match_graph":0.25,"freshness":0.6,"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":"2026-05-24T12:16:23.904Z","last_scraped_at":"2026-05-03T14:23:43.430Z","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=npm-modelcontextprotocolserver-map","compare_url":"https://unfragile.ai/compare?artifact=npm-modelcontextprotocolserver-map"}},"signature":"r310u91Gs6MaTz8TWgETxR6ax2SBKoHqVEkPKmvdYArTXbrRitivyHBp4Nb8AShgMbK5tQjdQ5w7CnB4wtUYBw==","signedAt":"2026-06-19T22:52:21.712Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/npm-modelcontextprotocolserver-map","artifact":"https://unfragile.ai/npm-modelcontextprotocolserver-map","verify":"https://unfragile.ai/api/v1/verify?slug=npm-modelcontextprotocolserver-map","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"}}