# nyc-property-intel

> nyc-property-intel — ccedacero-nyc-property-intel. Use this tool when you need to access comprehensive NYC property data for due diligence, as it provides Claude AI with connections to 20+ public record databases, including information on violations, sales, ownership, and more, with inputs of property queries and outputs of detailed property reports. This tool solves problems related to property research, risk assessment, and investment decisions by providing accurate and up-to-date information. It is ideal for use cases involving NYC property transactions, development, or management, where thorough due diligence is required.

Canonical page: https://skillsregistry.net/skills/ccedacero-nyc-property-intel  
JSON: https://api.skillsregistry.net/v1/skills/ccedacero-nyc-property-intel

## Description

MCP server giving Claude AI access to 20+ NYC public-record datasets across 9 city agencies via 18 tools — NYC property due diligence in plain English: violations, liens, sales, ownership, permits, rent stabilization, and more.

## Trust

- **Trust score (0–1):** 0.09
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** database
- **Updated:** 2026-09-27

## Source

- **Source listing:** [GitHub](https://github.com/ccedacero/nyc-property-intel)

## 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": "ccedacero-nyc-property-intel"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ccedacero-nyc-property-intel` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ccedacero-nyc-property-intel/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