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.
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.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.