Get My Location MCP Server

@mcpchina

代码仓库

基本信息

分类

媒体与设计

传输方式

stdio

作者

mcpchina

提交者

Ma Liang

关于 Get My Location MCP Server

获取用户当前的精准位置，配合天气、地图等需要基于位置提供服务的MCP时有奇效

#get-my-location#location-service#mcp

Get My Location MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "get-location": {
      "command": "npx",
      "args": [
        "-y",
        "@mcpcn/mcp-get-location"
      ],
      "env": {}
    }
  }
}

Get My Location MCP Server 工具

Get user location information, this tool can obtain the latitude and longitude of the user's location

概览

What is Get My Location?

Get My Location is an MCP (Model Context Protocol) server that obtains a user’s precise geographic location by opening a browser for manual permission authorization. It is designed for AI assistants or applications that need real‑time latitude/longitude coordinates, works cross‑platform (Windows, macOS, Linux), and communicates via stdio.

How to use Get My Location?

Install the server by running npx -y @mcpcn/mcp-get-location and add it to your MCP client’s configuration under the mcpServers key. No environment variables are required. After configuration, call the get_location tool – the server will automatically open a browser, ask you to grant location permission, poll for the position for up to 60 seconds, and return the coordinates.

Key features of Get My Location

Obtains precise location via browser geolocation API
Automatically opens the browser for user permission
Polls location data; 60‑second timeout if no response
Cross‑platform (Windows, macOS, Linux)
Returns latitude and longitude as a JSON object
No external API keys or configuration files needed

Use cases of Get My Location

Answer “Where am I?” by returning current coordinates
Provide location context to a weather MCP server for local forecasts
Supply starting coordinates to a map/directions MCP server for route planning
Enable location‑aware prompts in AI assistants without manual coordinate input

常见问题

What tool does Get My Location expose?

It exposes a single tool called `get_location`, which takes no parameters and returns `latitude` and `longitude`.

Does the server need an internet connection?

Yes. A network connection is required to access the browser geolocation service and to communicate with external APIs during the polling process.

How long does the server wait for a location?

It polls for up to 60 seconds. If the user does not grant permission or no location is obtained within that time, a timeout error is returned.

What runtime or dependencies are needed?

You need Node.js (npx) and a modern web browser. The server itself is a TypeScript package published on npm and uses MCP SDK 1.12.0.

How is the location data transported and authenticated?

The server communicates via stdio (standard input/output) with the MCP host. Authentication is handled entirely by the browser’s built‑in geolocation permission prompt – no additional credentials are needed.

媒体与设计分类下的更多 MCP 服务器

Your Move Exercise Video API

Your Move

Exercise videos, workouts and training programs for AI agents and apps: 1,413+ exercises with professional HD video, instructions and muscle data, plus workout and program generation and nutrition tools. Hosted MCP, no i

Soundza

Free sound effects, music and ambience for games, videos and apps. Search by mood, tempo, key or use, play previews and download full-quality files, each with 35 metadata fields.

SVGator

Drive your SVGator account from any AI assistant. Prompt an animation, get an editable project back, and export it as SVG, Lottie, GIF, MP4, and more, then open it in the editor to finish by hand.

Uwear.ai

Run complete AI fashion photoshoots from ChatGPT, Claude, or Codex. Turn flat-lay, packshot, and mannequin product images into catalog-ready on-model photos and video with saved art direction, automatic QA, and catalog-s

Blaze

Plan, create and schedule social media content from your AI assistant. Blaze makes on-brand posts, carousels and short videos, writes blog posts and newsletters, and schedules them to Instagram, TikTok, YouTube, LinkedIn