gaff-check

gaff-check

Enables AI agents to perform due diligence on Irish properties by querying public datasets for planning applications, sold prices, flood risk, radon risk, and zoning.

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README

gaff-check

Due diligence on any Irish property, for AI agents.

gaff-check is an open-source MCP (Model Context Protocol) server that gives AI assistants — Claude, Cursor, ChatGPT, or any MCP-compatible agent — ground truth from Ireland's scattered public property datasets.

Ask your assistant:

"Should I bid on this bungalow in Killiney? Tell me everything I should worry about."

…and it can check, in one conversation:

  • 🏗️ Planning applications near the property (that pending apartment block behind the back garden)
  • 💶 Sold prices on the street and in the area (Property Price Register)
  • 🌊 Flood risk (OPW / GSI flood mapping)
  • ☢️ Radon risk (EPA radon risk areas)
  • 🗺️ Zoning (Myplan generalised land-use zoning)
  • BER / energy rating context and retrofit grant signals (phase 2)

All from official, public Irish datasets. No scraping of commercial listing sites. No estimates — records.

Why

Buying (or renovating, or just being nosy about) a house in Ireland means trawling six-plus government websites, each with its own dreadful UX, none of which talk to each other. The data is public. The synthesis isn't. gaff-check is the glue: a single, boring, reliable tool layer so the reasoning can happen in your AI assistant.

What it is not

  • Not a valuation engine. It returns records; your agent does the thinking.
  • Not a Daft/MyHome scraper. Public state data only.
  • Not a website. It's a utility that enhances tools you already use.

Quick start (target UX)

npx gaff-check          # stdio MCP server

Claude Desktop config:

{
  "mcpServers": {
    "gaff-check": { "command": "npx", "args": ["-y", "gaff-check"] }
  }
}

Status

Pre-alpha. See SPEC.md for the design and docs/DATA_SOURCES.md for the data plumbing.

Licence

MIT. Data returned by the tools is subject to the licences of the underlying public datasets (mostly CC-BY 4.0 / PSI) — see DATA_SOURCES.md.

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