# EdgeOne Geo MCP Server

> Use this tool when you need to retrieve user geolocation data in JSON format for large language models. It solves the problem of accessing location information in a standardized way, enabling models to provide location-based responses. The EdgeOne Geo MCP Server takes in requests through the Model Context Protocol and outputs geolocation data, making it ideal for use cases that require location-aware interactions.

Canonical page: https://skillsregistry.net/skills/oldandoutdated-mcp-geo1  
JSON: https://api.skillsregistry.net/v1/skills/oldandoutdated-mcp-geo1

## Description

Enables large language models to retrieve user geolocation data using EdgeOne Pages Functions. It provides a dedicated tool to fetch location information in JSON format through the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-05-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pgtygd0z75)
- **Repository:** <https://github.com/OldandOutdated/mcp-geo1>

## 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": "oldandoutdated-mcp-geo1"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/oldandoutdated-mcp-geo1` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/oldandoutdated-mcp-geo1/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