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sugarforever

高德地图

by sugarforever
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Python
Hybrid

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
AMAP_MAPS_API_KEYYesYour valid Amap Maps API key obtained from the Amap Open Platform (https://lbs.amap.com/)

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
maps_regeocodeC

将一个高德经纬度坐标转换为行政区划地址信息

maps_geoC

将详细的结构化地址转换为经纬度坐标。支持对地标性名胜景区、建筑物名称解析为经纬度坐标

maps_ip_locationC

IP 定位根据用户输入的 IP 地址，定位 IP 的所在位置

maps_weatherB

根据城市名称或者标准adcode查询指定城市的天气

maps_bicycling_by_addressA

Plans a bicycle route between two locations using addresses. Unless you have a specific reason to use coordinates, it's recommended to use this tool.

Args:
    origin_address (str): Starting point address (e.g. "北京市朝阳区阜通东大街6号")
    destination_address (str): Ending point address (e.g. "北京市海淀区上地十街10号")
    origin_city (Optional[str]): Optional city name for the origin address to improve geocoding accuracy
    destination_city (Optional[str]): Optional city name for the destination address to improve geocoding accuracy
    
Returns:
    Dict[str, Any]: Route information including distance, duration, and turn-by-turn instructions.
    Considers bridges, one-way streets, and road closures. Supports routes up to 500km.
maps_bicycling_by_coordinatesA

Plans a bicycle route between two coordinates.

Args:
    origin_coordinates (str): Starting point coordinates in the format "longitude,latitude" (e.g. "116.434307,39.90909")
    destination_coordinates (str): Ending point coordinates in the format "longitude,latitude" (e.g. "116.434307,39.90909")
    
Returns:
    Dict[str, Any]: Route information including distance, duration, and turn-by-turn instructions.
    Considers bridges, one-way streets, and road closures. Supports routes up to 500km.
maps_direction_walking_by_addressA

Plans a walking route between two locations using addresses. Unless you have a specific reason to use coordinates, it's recommended to use this tool.

Args:
    origin_address (str): Starting point address (e.g. "北京市朝阳区阜通东大街6号")
    destination_address (str): Ending point address (e.g. "北京市海淀区上地十街10号")
    origin_city (Optional[str]): Optional city name for the origin address to improve geocoding accuracy
    destination_city (Optional[str]): Optional city name for the destination address to improve geocoding accuracy
    
Returns:
    Dict[str, Any]: Route information including distance, duration, and turn-by-turn instructions.
    Supports routes up to 100km.
maps_direction_walking_by_coordinatesA

步行路径规划 API 可以根据输入起点终点经纬度坐标规划100km 以内的步行通勤方案，并且返回通勤方案的数据

Args:
    origin (str): 起点经纬度坐标，格式为"经度,纬度" (例如："116.434307,39.90909")
    destination (str): 终点经纬度坐标，格式为"经度,纬度" (例如："116.434307,39.90909")
    
Returns:
    Dict[str, Any]: 包含距离、时长和详细导航信息的路线数据
maps_direction_driving_by_addressA

Plans a driving route between two locations using addresses. Unless you have a specific reason to use coordinates, it's recommended to use this tool.

Args:
    origin_address (str): Starting point address (e.g. "北京市朝阳区阜通东大街6号")
    destination_address (str): Ending point address (e.g. "北京市海淀区上地十街10号")
    origin_city (Optional[str]): Optional city name for the origin address to improve geocoding accuracy
    destination_city (Optional[str]): Optional city name for the destination address to improve geocoding accuracy
    
Returns:
    Dict[str, Any]: Route information including distance, duration, and turn-by-turn instructions.
    Considers traffic conditions and road restrictions.
maps_direction_driving_by_coordinatesA

驾车路径规划 API 可以根据用户起终点经纬度坐标规划以小客车、轿车通勤出行的方案，并且返回通勤方案的数据

Args:
    origin (str): 起点经纬度坐标，格式为"经度,纬度" (例如："116.434307,39.90909")
    destination (str): 终点经纬度坐标，格式为"经度,纬度" (例如："116.434307,39.90909")
    
Returns:
    Dict[str, Any]: 包含距离、时长和详细导航信息的路线数据
maps_direction_transit_integrated_by_addressA

Plans a public transit route between two locations using addresses. Unless you have a specific reason to use coordinates, it's recommended to use this tool.

Args:
    origin_address (str): Starting point address (e.g. "北京市朝阳区阜通东大街6号")
    destination_address (str): Ending point address (e.g. "北京市海淀区上地十街10号")
    origin_city (str): City name for the origin address (required for cross-city transit)
    destination_city (str): City name for the destination address (required for cross-city transit)
    
Returns:
    Dict[str, Any]: Route information including distance, duration, and detailed transit instructions.
    Considers various public transit options including buses, subways, and trains.
maps_direction_transit_integrated_by_coordinatesA

根据用户起终点经纬度坐标规划综合各类公共（火车、公交、地铁）交通方式的通勤方案，并且返回通勤方案的数据，跨城场景下必须传起点城市与终点城市

Args:
    origin (str): 起点经纬度坐标，格式为"经度,纬度" (例如："116.434307,39.90909")
    destination (str): 终点经纬度坐标，格式为"经度,纬度" (例如："116.434307,39.90909")
    city (str): 起点城市名称
    cityd (str): 终点城市名称

Returns:
    Dict[str, Any]: 包含距离、时长和详细公共交通信息的路线数据
maps_distanceC

测量两个经纬度坐标之间的距离,支持驾车、步行以及球面距离测量

maps_text_searchC

关键词搜索 API 根据用户输入的关键字进行 POI 搜索，并返回相关的信息

maps_around_searchB

周边搜，根据用户传入关键词以及坐标location，搜索出radius半径范围的POI

maps_search_detailB

查询关键词搜或者周边搜获取到的POI ID的详细信息

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

B3.4/5.0

Scored across 16 tools

Disambiguation4/5

The tools are mostly distinct: geocoding, IP location, weather, POI search, and route planning are clearly separated. However, the route planning tools come in address/coordinate pairs for four travel modes (bicycling, walking, driving, transit), creating 8 similar tools that could be confused, though the by_address/by_coordinates suffix helps.

Naming Consistency4/5

Most tools follow a consistent maps_<action>_by_<input> pattern (e.g., maps_direction_driving_by_address, maps_direction_driving_by_coordinates). Minor deviations exist: maps_regeocode, maps_geo, maps_ip_location, maps_weather, maps_distance, maps_text_search, maps_around_search, maps_search_detail don't follow the same verb_noun structure, but they are still readable and predictable.

Tool Count4/5

16 tools is slightly above the ideal range but reasonable for a maps server covering geocoding, search, weather, and multiple route types. The 8 route-planning variants inflate the count, but each serves a distinct mode/input combination.

Completeness4/5

The server covers geocoding (forward/reverse), IP location, weather, POI search (text/around/detail), and route planning for driving, walking, bicycling, and transit. Missing features like place autocomplete or static map images are minor gaps; the core mapping workflows are well covered.

Maintenance

ActivityInactive
ResponsivenessResponsive

Resources