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PyPI homedata-mcp v0.2.0 npm homedata-mcp v0.1.0

Property data MCP for every AI tool — ships in Python and Node

Install the Homedata MCP in any AI coding assistant and let it query 29 million UK properties — EPC, flood risk, planning, schools, transport — without leaving the chat. Pick Python (pip install homedata-mcp) or Node (npx -y homedata-mcp), paste your API key, restart your tool.

Get a key See all AI tools ↓

Works with Claude Desktop, Claude Code, Cursor, Codex CLI, Windsurf, Cline, Continue.dev and Zed.

Python pip 
pip install homedata-mcp
Node npm / npx 
npx -y homedata-mcp

Pick your AI tool

Every supported AI coding tool has its own install snippet, config path and FAQ. Pick yours.

Claude Desktop

Anthropic's official desktop app for Claude.

Install in Claude Desktop →

Claude Code

Anthropic's terminal-native coding agent.

Install in Claude Code →

Cursor

AI-first code editor built on VS Code.

Install in Cursor →

Codex CLI

OpenAI's terminal-native coding agent.

Install in Codex CLI →

Windsurf

Codeium's agentic IDE built for flow.

Install in Windsurf →

Cline

VS Code extension by the Cline team — autonomous coding inside your editor.

Install in Cline →

Continue.dev

Open-source AI assistant for VS Code and JetBrains.

Install in Continue.dev →

Zed

High-performance, multiplayer code editor.

Install in Zed →

Two editions, identical tools

Homedata MCP ships as a Python package and a Node package. Both expose the same MCP tools and the same homedata CLI. Pick whichever runtime fits your AI client and your machine.

Python edition

homedata-mcp v0.2.0

Best when your AI client already embeds Python — Claude Code, locally-managed plugin hosts, scripted automations. Requires Python 3.10+.

pip install homedata-mcp

Installs the homedata-mcp server and the homedata CLI on your PATH.

PyPI → GitHub →

Node edition

homedata-mcp v0.1.0

Recommended for most AI clients — zero-install via npx, no global PATH dependency. Requires Node 18+.

npm install -g homedata-mcp
# or, no install at all:
npx -y homedata-mcp

Installs the homedata-mcp server and the homedata CLI — same commands, same flags.

npm → GitHub →

How do I install the Homedata MCP?

Drop a small config block into your AI tool, paste your API key, restart. The MCP server runs locally and exposes typed tools to your assistant.

Add to

your AI tool's MCP config file

Pick your tool below for the exact config path. Same JSON shape across Claude, Cursor, Windsurf, Cline and Zed.

Recommended for most AI tools — runs via npx, no global install needed. Node 18+ required.

{
  "mcpServers": {
    "homedata": {
      "command": "npx",
      "args": ["-y", "homedata-mcp"],
      "env": {
        "HOMEDATA_API_KEY": "your_api_key_here"
      }
    }
  }
}
Restart your AI tool after saving. The homedata server appears in its MCP servers list.

Either edition exposes the same MCP tools and the same homedata CLI. Pick Node if you want zero-install via npx; pick Python if your AI client already embeds Python.

1. Install the server

Python 3.10+ with pip, or Node 18+ with npm/npx. Either edition exposes the same MCP tools.

2. Drop in your API key

Sign up and copy your key from the developer dashboard. Paste it into HOMEDATA_API_KEY.

3. Restart your AI tool

Your assistant now has typed property-data tools — ask it about any UK address.

The homedata CLI — same data, no AI required

Both editions ship a homedata command on your PATH so you can query the API straight from a terminal, shell script or build pipeline. Same auth, same data, same flags as the MCP server.

Install the CLI

Same homedata command in both editions.

Python (pip)

pip install homedata-mcp

Node (npm)

npm install -g homedata-mcp

Or run once, no install

npx -y homedata-mcp homedata --help
Set HOMEDATA_API_KEY in your shell before running any command — same key as the MCP server.

Common commands

Pipe into jq, fzf or feed straight back into your AI tool.

homedata search '10 downing street'

Type-ahead address search — get a UPRN for any UK address from your shell.

homedata property 100023336956

Full property record for any UPRN. Pipe into jq, fzf or your editor.

homedata epc 100023336956 --field current_energy_efficiency

EPC rating, score and recommendations from the official register.

homedata flood-risk 100023336956

Environment Agency flood risk — river, sea, surface and groundwater.

homedata planning --postcode "SW1A 1AA" --days 365

Recent planning applications for any postcode or local authority.

What can my AI ask about UK property?

Typed tools your AI assistant gains the moment the MCP is connected. Each one maps to a documented Homedata endpoint and has its own anchor for deep linking.

search_address Free

Type-ahead UK address search across all 29 million properties — find a UPRN in milliseconds.

lookup_property Included

Pull the full property record for any UK UPRN — characteristics, tenure, build period and more.

lookup_epc Included

Energy performance certificate rating, score and recommendations from the official EPC register.

lookup_flood_risk Included

River, sea, surface and groundwater flood risk for any UK address — sourced from the Environment Agency.

get_planning_applications Included

Recent planning applications for a postcode or local authority — applicant, description, status, decision dates.

get_crime Included

Crime statistics for the surrounding area, broken down by category and month.

get_schools Included

Nearby state and independent schools with Ofsted rating, type and distance.

get_transport Included

Closest rail, tube and tram stations with walking distance and line information.

get_postcode_profile Included

Aggregated profile for any UK postcode — sales activity, average prices, area scores.

batch_property_lookup Included

Look up multiple properties at once — pass a list of UPRNs, get back full property records for each.

search_property_listings Paid plans

Live UK property listings from Home.co.uk — for sale, to rent, sold STC, price changes.

get_property_sales Paid plans

Land Registry sale history for a property — every transaction since 1995 with price and date.

Tools call the same endpoints documented on /docs/endpoints. Property data sourced from Home.co.uk, Land Registry, EPC register, Environment Agency, ONS, Ofsted and other authoritative UK sources. Sales, listings and comparables are surfaced for customers on higher-tier plans — see plans.

Which AI tools support MCP?

MCP is an open protocol from Anthropic. Adoption is broad and growing — Homedata works with the major coding-focused clients today.

Claude Desktop

Setup guide →

Anthropic's official desktop app for Claude.

~/Library/Application Support/Claude/claude_desktop_config.json

Claude Code

Setup guide →

Anthropic's terminal-native coding agent.

~/.config/claude-code/mcp.json

Cursor

Setup guide →

AI-first code editor built on VS Code.

~/.cursor/mcp.json

Codex CLI

Setup guide →

OpenAI's terminal-native coding agent.

~/.codex/config.toml

Windsurf

Setup guide →

Codeium's agentic IDE built for flow.

~/.codeium/windsurf/mcp_config.json

Cline

Setup guide →

VS Code extension by the Cline team — autonomous coding inside your editor.

VS Code → Cline → MCP Servers → Edit MCP Settings

Continue.dev

Setup guide →

Open-source AI assistant for VS Code and JetBrains.

~/.continue/config.yaml

Zed

Setup guide →

High-performance, multiplayer code editor.

~/.config/zed/settings.json

Frequently asked questions about the Homedata MCP

Common questions about installing, supported AI tools and underlying data sources.

What is the Model Context Protocol (MCP)?
MCP is an open standard from Anthropic that lets AI assistants like Claude, Cursor, Codex and Windsurf talk to external tools and data sources. When you install the Homedata MCP, your AI gains typed tools for querying UK property data — addresses, EPC, flood risk, planning, schools, transport and more — directly from your normal chat or coding workflow.
Which AI tools support the Homedata MCP?
Claude Desktop, Claude Code, Cursor, Codex CLI, Windsurf, Cline (VS Code), Continue.dev and Zed all ship with first-class MCP support. The Homedata MCP ships as both a Python package (pip install homedata-mcp) and a Node package (npm install -g homedata-mcp / npx -y homedata-mcp) so it slots into every one of them — pick the dedicated subpage above for setup instructions tailored to your tool.
How does the Homedata MCP work?
When you install homedata-mcp and configure your AI client with your Homedata API key, the assistant gains a set of typed property-data tools. Ask it a question about a UK address and the assistant decides which tools to invoke, makes the request via the MCP server running locally on your machine, and uses the structured response to answer you. The MCP server runs locally — your AI vendor never sees the property data.
Should I install the Python or Node edition of homedata-mcp?
They expose the same MCP tools and the same homedata CLI — pick whichever runtime is easier on your machine. Node is recommended for most AI clients (Claude Desktop, Cursor, Codex, Windsurf, Cline, Continue.dev, Zed) because npx lets you run it with no global install. Python is recommended for Claude Code and any AI tool that already embeds Python.
What UK property data is available through MCP?
The MCP exposes typed tools for 29 million UK properties — address search, full property records, EPC ratings, flood and environmental risk, planning applications, crime statistics, Ofsted school data, transport links and aggregated postcode profiles. Sales history and live listings are available on higher-tier plans.
How do I install the Homedata MCP?
Pick an edition: `pip install homedata-mcp` for Python, or `npm install -g homedata-mcp` (or `npx -y homedata-mcp`) for Node. Then drop a small JSON or TOML block into your AI tool's config file with your Homedata API key. Each AI client has its own config path — pick the dedicated subpage above for the exact snippet and location for your tool.
How does the homedata CLI differ from the MCP server?
The MCP server is for AI assistants — it speaks the Model Context Protocol so Claude, Cursor and friends can call typed tools. The homedata CLI is for humans — it ships in the same package and gives you `homedata property`, `homedata epc`, `homedata flood-risk`, `homedata planning` and `homedata search` commands you can run directly in a terminal, pipe into jq, or use from shell scripts.
Is the Homedata MCP open source?
Yes — both editions are MIT-licensed. The Python source lives at github.com/wehomemove/homedata-mcp and the Node source at github.com/wehomemove/homedata-mcp-node. You can read every tool definition, fork either repo, contribute new tools and pin a specific version if you need stability across deploys.
Why is UK property data hard?
UK property data is fragmented across dozens of separate registers — Land Registry for sales, the EPC register for energy, the Environment Agency for flood, local authorities for planning, ONS for census, Ofsted for schools, Home.co.uk for live listings. Homedata aggregates them into a single typed API. The MCP wraps that API so an AI assistant can query any of those sources without the developer learning each one.
How do I get help or report a bug?
Open an issue on the public GitHub repository (homedata-mcp or homedata-mcp-node), or email support@homedata.co.uk. Both editions are MIT-licensed and PRs are welcome.

Plug 29 million UK properties into your AI assistant

Works with every major AI coding tool. Install in under sixty seconds — Python or Node.

Get a key Read API docs View on GitHub

Latest releases: PyPI v0.2.0 · npm v0.1.0