A powerful MCP skill for integrating Amap LBS services like geocoding, route planning, and POI search into AI agent workflows.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install amap-maps
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install amap-maps using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Amap Maps Skill?
The Amap Maps Skill provides a robust interface for interacting with Amap Location Based Services (LBS) through a Streamable HTTP MCP. It allows developers and AI agents to programmatically access high-quality mapping data, including real-time weather, precise geocoding, and multi-modal route planning. This skill is essential for building location-aware applications or automating travel-related tasks within the Openclaw Skills ecosystem.
By leveraging this skill, users can transform addresses into coordinates, discover points of interest (POIs), and calculate distances or travel times between locations. It bridges the gap between raw mapping APIs and AI-driven automation, offering a streamlined CLI tool for rapid development and testing.
Amap Maps Skill Use Cases
- Convert physical addresses into geographical coordinates for data processing.
- Automate travel route planning including driving, walking, cycling, and public transit.
- Retrieve real-time weather updates based on city names or IP-based location data.
- Conduct proximity-based searches for specific business categories or points of interest.
- Generate mobile-ready navigation and taxi hailing URIs for seamless user handoffs.
How Amap Maps Skill Works
- The skill authenticates with the Amap API using a provided developer key.
- Users or AI agents invoke specific commands via the Node.js CLI tool or MCP protocol.
- The skill processes the request, communicating with Amap LBS servers via HTTP.
- Data is parsed and returned in a structured format, such as JSON coordinates or route steps.
- The results can be used for further automation, such as generating navigation links or informing decision-making in complex Openclaw Skills workflows.
Amap Maps Skill Setup
To get started with this Openclaw Skills addition, ensure you have Node.js 18+ installed. First, clone the repository and install dependencies:
cd amap-maps
npm install
Next, obtain an API key from the Amap LBS Portal and set it as an environment variable:
export AMAP_KEY="Your Amap Key"
You can verify the installation by running the help command:
node scripts/amap.js help
Amap Maps Skill Data Schema & Taxonomy
The skill manages several types of geospatial data structures to ensure compatibility across Openclaw Skills integrations:
| Data Type | Description | Format Example |
|---|---|---|
| Coordinates | Longitude and Latitude pair | 116.48,39.99 |
| Weather | City-based atmospheric data | JSON Object |
| Routes | Step-by-step navigation instructions | Array of Path Segments |
| POI Info | Point of Interest metadata | ID, Name, Address, Category |
| Schema URI | Amap-native navigation/taxi links | amapuri://... |
Amap Maps Skill Advanced Features
- Multi-modal route planning supporting driving, walking, bicycling, and transit modes.
- IP-to-Location lookup for automated localization without user input.
- Proximity-based POI discovery with customizable search radii.
- Automated generation of Amap Navigation and Taxi schemas for mobile integration.
- Seamless integration with other Openclaw Skills via standardized MCP protocols.
SKILL.md
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