TravelMind MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@TravelMind MCP Serverfind restaurants near 116.481,39.990 within 1000 meters"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
TravelMind MCP Server
TravelMind (差旅 + 报销 + AI Agent 一体化) 的官方 MCP (Model Context Protocol) server。
让任意 MCP 兼容客户端(Claude Desktop / Cursor / WorkBuddy / 等)直接调用中国境内的差旅核心能力:地理编码、POI 搜索、周边搜索和反向地理编码。
Features
4 个核心 Tools,全部由高德开放 API 提供实时数据:
Tool | Description | API |
| 地址 → 经纬度 (城市/地址解析) |
|
| 经纬度 → 行政区 + POI (逆地理编码) |
|
| 关键词搜 POI (酒店/餐厅/景点) |
|
| 周边搜 POI (坐标 + radius) |
|
Related MCP server: AMap Maps MCP Server
Quick Start
Prerequisites
Node.js >= 18
高德开放平台 API Key: https://lbs.amap.com/dev/key/app
Install
git clone https://github.com/gcszkjpzzv-beep/TravelMind_MCP.git
cd TravelMind_MCP
npm installConfigure
export AMAP_API_KEY="your-amap-api-key"Run
node index.jsUse in Claude Desktop / Cursor
{
"mcpServers": {
"travelmind": {
"command": "node",
"args": ["/path/to/TravelMind_MCP/index.js"],
"env": { "AMAP_API_KEY": "your-key" }
}
}
}Tools Reference
geocode
{
"address": "北京市朝阳区望京 SOHO",
"city": "北京"
}Returns { location: "lng,lat", formatted_address, ... }.
regeocode
{ "location": "116.481,39.990" }Returns { formatted_address, addressComponent: { province, city, district, ... } }.
text_search
{
"keywords": "希尔顿酒店",
"city": "北京",
"types": "住宿"
}Returns { pois: [{ id, name, address, location, ... }] }.
around_search
{
"keywords": "餐厅",
"location": "116.481,39.990",
"radius": "1000"
}Returns { pois: [...] } within radius.
About TravelMind
Official site: https://www.trvaelmind.online
ICP: 浙ICP备2026021219号
License
MIT
This server cannot be installed
Maintenance
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