# us.propertyscoop/mcp

> Use this tool when you need to access comprehensive US property data, including environmental and socioeconomic factors such as powerlines, noise, crime rates, natural hazards, and school information. It solves problems related to property research, risk assessment, and informed decision-making for buyers, sellers, and investors. The tool provides detailed outputs on various property attributes, accepting location-based inputs such as addresses or geographic coordinates.

Canonical page: https://skillsregistry.net/skills/us-propertyscoop-mcp  
JSON: https://api.skillsregistry.net/v1/skills/us-propertyscoop-mcp

## Description

US property data: powerlines, noise, crime, hazards, schools and more

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-09

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/us.propertyscoop%2Fmcp)

## Use it

MCP endpoint published by the skill: `https://mcp.propertyscoop.us`

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": "us-propertyscoop-mcp"
    }
  }
}
```

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