# EdgeOne Geo Location MCP Server

> Use this tool when you need to retrieve user geolocation information for context-aware applications, solving problems such as location-based personalization and spatial analysis. It takes in requests through EdgeOne Pages Functions and returns location data in JSON format via the Model Context Protocol. This enables AI models to make informed decisions based on user location, making it ideal for use cases requiring spatial context.

Canonical page: https://skillsregistry.net/skills/flycun-mcp-geo  
JSON: https://api.skillsregistry.net/v1/skills/flycun-mcp-geo

## Description

Enables AI models to retrieve user geolocation information using EdgeOne Pages Functions through the Model Context Protocol, providing location data in JSON format for context-aware applications.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/grt6fx8btk)
- **Repository:** <https://github.com/flycun/mcp-geo>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "flycun-mcp-geo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/flycun-mcp-geo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/flycun-mcp-geo/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt