Amap MCP Server

Overview

The 高德地图 MCP Server exposes a rich set of geographic and routing services from the Gaode (Amap) platform to AI assistants via the Model Context Protocol. It solves the common developer pain point of integrating real‑world location data—geocoding, weather, routing, POI search—into conversational agents without having to manage HTTP clients or API keys manually. By packaging these capabilities as an MCP server, the tool becomes a first‑class resource that Claude or any other MCP‑enabled assistant can invoke seamlessly, turning location queries into actionable data within a single interaction.

At its core the server offers geocoding and reverse‑geocoding tools (, ) that translate between human‑readable addresses and precise latitude/longitude coordinates. These functions are essential for any assistant that needs to contextualize user locations, such as travel planners or logistics helpers. The server also provides IP location and weather utilities (, ), allowing assistants to infer a user’s approximate whereabouts and provide timely weather updates—all without exposing raw API calls.

Routing is where the server truly shines. It supports multiple modes—bicycling, walking, driving, and integrated public transit—each with both coordinate‑based and address‑based variants. For example, can generate a 500 km bike route that respects infrastructure constraints like bridges and one‑way streets. The transit tools () handle cross‑city journeys, automatically combining trains, subways, and buses. These routing tools return structured plans that assistants can format into maps, turn‑by‑turn directions, or even schedule reminders.

Distance measurement () and POI search capabilities (, , ) round out the offering. Assistants can compute travel times, find nearby restaurants or gas stations, and retrieve detailed information about a specific point of interest—all through simple tool calls. The server’s design emphasizes ease of integration: developers can launch it locally via or deploy it remotely using SSE or Streamable HTTP, then reference it in their MCP configuration with a single URL or command block.

In real‑world scenarios, this server powers applications such as travel assistants that suggest optimal routes and accommodations, delivery services that calculate distances and schedule pickups, or smart city dashboards that provide live traffic and weather insights. Its standout advantage lies in unifying diverse geographic services under the MCP umbrella, enabling AI assistants to deliver contextually rich, up‑to‑date location intelligence without boilerplate code or repeated authentication logic.