# Geo Home MCP

> Geo Home MCP — takeshy-geo-home-mcp. Use this tool when you need to compare and evaluate residential areas based on land price, accessibility, and commute time. It solves problems related to real estate research, urban planning, and relocation decisions by providing interactive maps and MCP tools for data analysis. The tool takes in location-based inputs and outputs comparative area maps, land prices, and commute times, making it ideal for use in urban development, housing market research, and personal relocation planning.

Canonical page: https://skillsregistry.net/skills/takeshy-geo-home-mcp  
JSON: https://api.skillsregistry.net/v1/skills/takeshy-geo-home-mcp

## Description

Enables comparison of residential candidate areas by land price, station walking time, and public transit commute, with PMTiles-powered interactive maps. Provides MCP tools for listing layers, retrieving land prices, computing commutes, finding and comparing areas, and building area maps.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/asiuq9e2k4)
- **Repository:** <https://github.com/takeshy/geo-home-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": "takeshy-geo-home-mcp"
    }
  }
}
```

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