@amap/amap-maps-mcp-server
MCP ServerFreeMCP server for using the AMap Maps API
Capabilities7 decomposed
amap geocoding and reverse geocoding via mcp protocol
Medium confidenceExposes AMap's geocoding API through the Model Context Protocol, allowing LLM agents to convert addresses to coordinates and coordinates to addresses. Implements MCP tool schema binding that wraps AMap REST API endpoints, handling request serialization, response parsing, and error translation into structured tool results that Claude and other MCP-compatible clients can consume.
Native MCP server implementation that directly exposes AMap geocoding as callable tools within LLM agents, rather than requiring custom API wrapper code — agents can invoke geocoding as a first-class operation without intermediate HTTP handling
Tighter integration with Claude and MCP-compatible models compared to using raw AMap REST API, eliminating boilerplate tool definition and response parsing code
route planning and directions retrieval via mcp
Medium confidenceWraps AMap's routing API (driving, walking, transit) through MCP tool schema, enabling LLM agents to request turn-by-turn directions, distance/duration estimates, and route alternatives. Translates AMap's polyline-encoded route geometry and step-by-step instructions into structured tool outputs that agents can reason about and present to users.
Exposes multi-modal routing (driving, walking, transit) as discrete MCP tools with unified response schema, allowing agents to reason about transport mode tradeoffs without custom parsing logic
Simpler integration than building custom routing tool wrappers; agents can directly invoke routing without managing API response heterogeneity across transport modes
place search and poi discovery via mcp
Medium confidenceImplements MCP tool bindings for AMap's place search API, enabling agents to discover points of interest (restaurants, hotels, gas stations, etc.) by keyword, category, or proximity. Handles spatial queries (nearby search, polygon/circle search) and returns ranked results with ratings, contact info, and business hours, allowing agents to help users find relevant locations.
Exposes AMap's multi-criteria POI search (keyword, category, proximity, polygon) as a single unified MCP tool with flexible filtering, avoiding the need for agents to manage multiple API endpoints
More comprehensive than simple keyword search; agents can combine spatial, categorical, and textual criteria in a single tool invocation without custom query composition
static map image generation with markers and overlays via mcp
Medium confidenceWraps AMap's static map API through MCP, allowing agents to generate map images with customizable markers, polylines, and polygons for visualization in chat interfaces. Constructs image URLs with encoded geometry, styling parameters, and zoom levels, returning image URLs that clients can render or embed in responses.
Generates map images as MCP tool outputs, allowing agents to include geographic visualizations directly in responses without requiring separate image generation infrastructure
Simpler than embedding interactive maps; agents can generate and present map images in a single tool call without client-side map library dependencies
distance matrix calculation for multi-point routing via mcp
Medium confidenceExposes AMap's distance matrix API through MCP, enabling agents to calculate distances and travel times between multiple origin-destination pairs in a single request. Supports driving, walking, and transit modes, returning a matrix of distances/durations that agents can use for optimization, comparison, or decision-making.
Batch distance calculation as a single MCP tool, allowing agents to reason about multi-point routing without issuing multiple individual route requests
More efficient than sequential point-to-point routing calls; agents can analyze all pairwise distances in one operation, enabling optimization logic
ip-based location lookup via mcp
Medium confidenceImplements MCP tool binding for AMap's IP location API, enabling agents to determine geographic location from IP addresses. Returns city-level or more granular location data, allowing agents to infer user location context or validate geographic constraints without explicit user input.
Provides implicit location context to agents via IP lookup, enabling location-aware behavior without explicit user input or permission flows
Simpler than requiring explicit location permission; agents can infer approximate location context automatically, though with accuracy tradeoffs
mcp protocol transport and tool schema binding
Medium confidenceImplements the Model Context Protocol (MCP) server framework, handling bidirectional JSON-RPC communication with MCP clients (Claude, custom hosts), tool schema definition and validation, and request/response marshaling. Manages the lifecycle of tool invocations, error handling, and result serialization according to MCP specification.
Implements MCP server as the primary integration point, making AMap services first-class tools in MCP-compatible environments rather than requiring custom API wrapper code
Standardized MCP protocol enables seamless integration with Claude and other MCP clients without custom tool definition or schema management
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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@amap/amap-maps-mcp-server
MCP server for using the AMap Maps API
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Best For
- ✓LLM application developers building location-aware agents
- ✓Teams integrating AMap services with Claude or other MCP-compatible AI models
- ✓Developers prototyping location-based AI workflows in China/Asia-Pacific regions
- ✓Developers building conversational navigation assistants
- ✓Teams creating trip planning or logistics optimization agents
- ✓Location-based chatbots that need to provide directions within conversations
- ✓Developers building location-based recommendation agents
- ✓Teams creating local search chatbots for travel or lifestyle apps
Known Limitations
- ⚠Geocoding accuracy and coverage limited to AMap's data quality (primarily optimized for China)
- ⚠Rate limiting enforced by AMap API tier; no built-in request batching or queue management
- ⚠Requires valid AMap API key with geocoding service enabled; no fallback to alternative providers
- ⚠MCP protocol overhead adds ~50-100ms per request compared to direct REST calls
- ⚠Route alternatives limited to AMap's algorithm output; no custom optimization criteria
- ⚠Real-time traffic data integration depends on AMap API tier; may not reflect current conditions
Requirements
Input / Output
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MCP server for using the AMap Maps API
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