Irish property due diligence for AI agents: planning, sold prices, radon, zoning, flood, BER.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β we're steadily working through the catalog.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Due diligence on any Irish property, for AI agents.
gaff-check is an open-source MCP (Model Context Protocol) server that gives AI assistants β Claude, Cursor, ChatGPT, or any MCP-compatible agent β 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."
β¦and it can check, in one conversation:
All from official, public Irish datasets. No scraping of commercial listing sites. Records and clearly labelled derived context β never invented certainty.
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.
gaff-check runs as a stdio MCP server and requires Node.js 20 or newer. Do not run npx -y gaff-check on its own: it will wait for an MCP client to send requests, so the terminal will appear to hang. Add it to your assistant instead; no API keys or separate package installation are needed.
Claude Code:
Run /mcp in Claude Code to confirm that gaff-check is connected. --scope user makes it available in every project; omit that option if you want Claude Code's default project-local configuration instead.
Codex:
Run codex mcp list to confirm the server is configured, then start a new Codex session and use /mcp to inspect the active tools.
Claude Desktop (claude_desktop_config.json):
You: I'm thinking about a house near Fitzwilliam Square in Dublin 2, built in the 1980s. What should I know?
Claude (calling
resolve_location,planning_applications,sold_prices,radon_risk,zoning,flood_risk,ber_context,recorded_crime_context):Here's what the public records say about that area:
- Planning: 5+ applications within 300 m β most recently a protected-structure alteration granted Feb 2025 (Dublin City Council, ref WEB1305/25, 81 m away). Several protected-structure precedents on the square itself.
- Sold prices: recent registered sales nearby range widely; the register shows exact declared prices per address (e.g. β¬1.8 m for a Howth Road semi in June 2026 β every record carries its date, address and VAT flag).
- Radon: the area is in the EPA's "about 1 in 20 homes" band β not a designated High Radon Area, but the EPA advises testing any home (~β¬50).
- Zoning: the square itself is zoned open space under the Dublin City Development Plan 2022β2028; surrounding streets are residential/mixed.
- Flood: no mapped groundwater or historic flood extents at the point β but note the OPW's river/coastal models are licence-restricted and not checked; verify at floodinfo.ie.
- BER context: 1978β1999 dwellings in Dublin 2 skew C/D. If the listing claims a B, ask to see the cert. Current SEAI grants: β¬12,500 max for a heat pump, β¬1,300 attic insulation for a semi-D (verified July 2026).
- Recorded crime: annual CSO category counts for the containing Garda sub-district, plus a separately labelled wider division trend. These are administrative area totals, not incidents at the address; homicide and sexual offences are not published at sub-district level.
Every figure above came from an official dataset, with source, licence, vintage and caveats attached in the payload.
The repo ships a project-scoped .mcp.json for Claude Code and .codex/config.toml for Codex. After building, open and trust the repository, then approve or restart the configured server when prompted. npm test runs the fixture-based unit tests; RUN_E2E=1 npm run test:e2e and npm run eval hit the live upstreams.
See CONTRIBUTING.md for house style, docs/HANDOVER.md for the concise operating brief, and SPEC.md plus docs/DATA_SOURCES.md for the detailed sources of truth.
Published on npm as gaff-check@0.2.0. Working today:
| Tool | What it answers | Source |
|---|---|---|
resolve_location | "Where exactly is this address?" | OpenStreetMap Nominatim |
planning_applications | "What's been applied for / decided near this point?" | National Planning Application Database (DHLGH) |
sold_prices | "What did homes here actually sell for?" | Property Price Register (PSRA, official CSVs) |
radon_risk | "Is this a high radon area?" | EPA Radon Risk Map |
zoning | "What is this land zoned for?" | Myplan generalised zoning (DHLGH) |
flood_risk | "Any mapped groundwater/historic flooding here?" | GSI flood mapping (plus a pointer to OPW's floodinfo.ie for river/coastal models, which are licence-restricted) |
ber_context | "What BER is typical for a house of this age here, and what grants exist?" | CSO BER statistics (EBA02) + SEAI grant reference data |
recorded_crime_context | "What recorded-crime categories are published for this wider Garda area?" | CSO CJA11/CJA39/CJQ10/CJQ11 + Garda boundaries + Census 2022 denominator |
All eight tools are implemented. Current priorities are post-launch reliability, upstream-drift detection, and keeping source/licence/grant metadata current; see docs/LAUNCH.md for the watchlist.
A note on Eircodes: Eircode lookup is proprietary, so there's no free official way to turn an Eircode into coordinates. If you only have an Eircode, give your assistant the address too (or a rough location) β resolve_location handles the rest.
irishmcp.ie hosts a PPR-only MCP server built on CivicTech Ireland's price-register API β nice work, check it out if sold prices are all you need. gaff-check's scope is broader (planning, flood, radon, zoning, BER context), and it reads the official PSRA CSVs directly.
MIT. Data returned by the tools is subject to the licences of the underlying public datasets (mostly CC-BY 4.0 / PSI) β see DATA_SOURCES.md.
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