# Geo

> Use this tool when you need to perform location-based operations, such as forward and reverse geocoding, to solve problems like address validation, location-based analytics, and mapping services. It provides a flexible interface for single and batch geocoding operations, accepting location data as input and returning detailed address information as output. Ideal for AI systems requiring geocoding capabilities, it supports multiple providers, including Nominatim, ArcGIS, and Bing, and optimizes API usage with rate limiting and error handling.

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

## Description

This MCP geocoding server, developed by webcoderz, provides a flexible interface for location-based operations using various geocoding services. Built with Python and leveraging the geopy library, it offers tools for forward and reverse geocoding, with support for Nominatim, ArcGIS, and Bing providers. The server implements rate limiting and error handling to optimize API usage across multiple geocoding requests. Key features include single and batch geocoding operations, detailed address information retrieval, and configurable provider selection. By abstracting the complexities of geocoding APIs, it enables AI systems to easily perform location-based tasks. This implementation is particularly valuable for applications requiring flexible geocoding capabilities, facilitating use cases such as address validation, location-based analytics, and mapping services.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/webcoderz-geo)
- **Repository:** <https://github.com/webcoderz/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": "webcoderz-geo"
    }
  }
}
```

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