# Parceled

> Use this tool when you need to access comprehensive US property records, including parcel boundaries, ownership details, and sale history, to inform location-based decisions or analyze real estate trends. Parceled provides a scalable and cost-effective solution via GraphQL, REST, and MCP interfaces, with flexible pricing starting at $0.01 per credit. Ideal for applications requiring accurate and up-to-date property data, such as mapping, urban planning, and insurance risk assessment.

Canonical page: https://skillsregistry.net/skills/parceled  
JSON: https://api.skillsregistry.net/v1/skills/parceled

## Description

Parceled provides AI agents access to over 135 million US property records via GraphQL, REST, and MCP interfaces. The server delivers parcel boundaries as vector tiles, county assessor records with owner names and sale history, roof permits, and hail damage history across all 50 states. Pricing starts at $0.01 per credit with a free tier of 100 monthly calls.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/parceled)

## 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": "parceled"
    }
  }
}
```

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

---
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