# quanta-route-geocoder

> quanta-route-geocoder — mapdevsaikat-quantaroute-geocoder. Use this tool when you need to convert addresses to geographic coordinates or retrieve administrative boundaries, solving problems such as location-based data analysis and route optimization. It takes address strings or coordinates as input and returns corresponding coordinates, administrative boundaries, or DigiPin information as output. This geocoding capability is useful in contexts where location intelligence is required, such as logistics, transportation, and urban planning applications.

Canonical page: https://skillsregistry.net/skills/mapdevsaikat-quantaroute-geocoder  
JSON: https://api.skillsregistry.net/v1/skills/mapdevsaikat-quantaroute-geocoder

## Description

Provides geocoding, reverse geocoding, location lookup, and DigiPin processing capabilities using the QuantaRoute API, enabling AI assistants to convert addresses to coordinates and retrieve administrative boundaries.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/v3vhcptjtf)
- **Repository:** <https://github.com/mapdevsaikat/quantaroute-geocoder>

## 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": "mapdevsaikat-quantaroute-geocoder"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mapdevsaikat-quantaroute-geocoder` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mapdevsaikat-quantaroute-geocoder/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