# Geocoding MCP Server

> Use this tool when you need to convert addresses into geographic coordinates or vice versa, solving problems such as location-based data retrieval and mapping. It takes in location queries as input and outputs corresponding latitude and longitude coordinates, leveraging the Nominatim API for accurate results. Ideal for use cases requiring spatial analysis or location-based services integration in AI applications.

Canonical page: https://skillsregistry.net/skills/geocoding-ai-mcp  
JSON: https://api.skillsregistry.net/v1/skills/geocoding-ai-mcp

## Description

A Model Context Protocol server that provides geocoding services by integrating with the Nominatim API, allowing AI assistants to perform location-based lookups.

## 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/ta3uawhv52)
- **Repository:** <https://github.com/geocoding-ai/mcp>

## 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": "geocoding-ai-mcp"
    }
  }
}
```

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