MCP Server · Agent Skill · 4 cities

Research any building
just by asking.

Ask ChatGPT, Claude, OpenClaw, or Hermes about any address and get violations, complaint history, landlord record, and risk score — pulled live from 50+ government datasets. Authorize once with your Augrented account and start asking.

Connect via MCP Install the skill
Works with ChatGPT Claude OpenClaw Hermes Cursor Windsurf GitHub Copilot + 60 more
9
tool categories
4
cities
67+
supported agents
50+
gov't datasets
10
free building lookups

See it in action

Get the full picture in seconds.

Violations, complaints, pest history, risk forecast, landlord record — assembled into a coherent answer. Below: Hermes, Augrented MCP, 202 W 24th St, Manhattan.

Hermes terminal agent running Augrented building analysis — violations, risk score, complaints, and verdict for 202 W 24th St Manhattan

Hermes · deepseek v4 flash · 63.5k/1m context · 3h 19m session

What you get

One connection. Instant answers.

MCP server

Your AI gets live access to 50+ government datasets — violations, complaints, permits, landlord portfolios, risk scores. Just ask in plain English. No code, no tabs, no searching.

https://augrented.com/mcp

Agent skill

Turns raw government data into actionable answers. Your AI knows what matters, what to flag, and how to explain it — so you get a clear verdict, not a dump of records.

npx skills add augrented/augrented-rental-research

Free for the first 10

Same free tier as the web app. Authorize with your Augrented account and your first 10 building lookups cost nothing. No credit card required.

OAuth sign-in · same account as the web app

Setup

Connect in under a minute.

One config entry. Authorize with your Augrented account. Start asking about any building.

Agent skill

Turn raw data into clear answers. One command.

Without the skill, your AI surfaces raw records with no context. It misses the patterns that matter. The skill gives it the judgment to flag risks, compare landlords, and explain what the data actually means for you.

Ask about any building in plain English — your AI pulls the right data and tells you what matters
Know what you're walking into before you tour: violations, complaints, pest history, risk forecast, landlord record
Covers NYC, SF, LA, and Austin — your AI knows what data exists in each city and what to flag
Compare a landlord's full portfolio by violations — spot repeat offenders across multiple listings
Works in ChatGPT, Claude, OpenClaw, Hermes, or your coding agent — wherever you already ask questions
Quick install
npx skills add augrented/augrented-rental-research
Common flags
-gglobal install, across all projects
-a claude-codetarget a specific agent
-yskip confirmations (CI/CD)
--listpreview skills without installing
Supported agents (67+)
ChatGPT
Claude
OpenClaw
Hermes
Cursor
Windsurf
GitHub Copilot
60 more

Coverage

Four cities. Fifty-plus datasets.

New York City
BBL · 10 digits
HPD violations (class A/B/C)
311 service requests
DOB complaints + ECB violations
Bedbug disclosure data
Marshal eviction filings
Emergency repairs + liens
San Francisco
block-lot · numeric
DBI complaints + NOVs
Second NOVs + final warnings
Director hearings + city attorney
Building + electrical + plumbing permits
311 calls + fire incidents
Soft-story seismic data
Los Angeles
APN · assessor parcel
Code enforcement (open + closed)
Building + electrical + mechanical permits
MyLA311 service requests
Building safety requests
Foreclosure filings
Ownership + assessed value + sales
Austin
geo_id · TCAD parcel
Code complaints + violations
Repeat Offender Program (ROP)
Building + construction permits
Austin 311 service requests
Affordable housing data
Assessed value + ownership (TCAD)

Get started

Your AI rental research assistant is one command away.

Add one line to your MCP config. Install the skill. Research any building before you sign — just by asking. Free for the first 10, no credit card required.

Connect via MCP Read the setup guide
https://augrented.com/mcp