# mapsi-mcp

> Use this tool when you need to geospatially enable your AI applications with efficient and cost-effective APIs for location-based services, such as geocoding, routing, and mapping. It solves problems related to location data processing, analysis, and visualization, providing inputs like addresses, coordinates, and outputs like maps, routes, and spatial insights. Ideal for use cases requiring batch geocoding, GPS tracking, or spatial analysis, built on reliable OpenStreetMap infrastructure.

Canonical page: https://skillsregistry.net/skills/algolayertechnologies-mapsi-mcp  
JSON: https://api.skillsregistry.net/v1/skills/algolayertechnologies-mapsi-mcp

## Description

Geospatial API tools for AI agents — geocoding, reverse geocoding, routing, isochrone, distance matrix, static maps, H3 hexagons, elevation, GPS map-matching, point-in-polygon, address normalisation, timezone lookup, and batch geocoding. Built on OpenStreetMap infrastructure. Cost-effective alternative to Google Maps API.

## 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:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fr3y90zl09)
- **Repository:** <https://github.com/algolayertechnologies/mapsi-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": "algolayertechnologies-mapsi-mcp"
    }
  }
}
```

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