# WhereToLive London open data Muse connector

From musedirectory.ai, the independent directory of Meta Muse connectors. Not affiliated with Meta.

## WhereToLive London open data

Search London neighborhoods by house prices, crime, schools, commute times and flood zones

- Record: https://musedirectory.ai/connector/wheretolive-london-open-data
- Category: Research & Data
- Developer: wheretolive.xyz (https://wheretolive.xyz/developers)
- Muse status: Extra setup. Not in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
- Health: Working, 1183ms, checked 2026-10-29T12:46:03Z
- Endpoint: https://wheretolive.xyz/mcp
- Auth: No account needed; Pricing: unknown
- Screening: Screened, no issues found (2026-10-28T14:36:33Z)
- Source: Found in the official MCP Registry (xyz.wheretolive/london-open-data) https://registry.modelcontextprotocol.io/v0/servers?search=xyz.wheretolive%2Flondon-open-data

Queries official London open data on postcode districts: median house prices, rental costs, crime rates, Ofsted school grades, commute times to work hubs, flood zones, and council tax bands. Find districts matching your criteria or compare neighborhoods side by side.

Example request: "Show me London postcodes under £500k with low crime, good schools and under 30 minutes to Canary Wharf"

How to connect: Not in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use WhereToLive London open data to help me. It is a free service with an MCP server at https://wheretolive.xyz/mcp. It does not need an API key. Ask me before you share anything with it." Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.

Tools:
- find_london_district: Resolve a place name, borough, Tube or rail station, outward code or full postcode to the London postcode district(s) the other tools take. Returns up to 15 matches with their borough(s) and how each matched. To screen districts on prices, commute, crime, schools, flood or rent, 
- find_london_districts: Find the London postcode districts that meet several open-data criteria at once: a maximum Land Registry median house price, a maximum commute to a work hub, crime at or below the London rate or under a rate per 1,000 residents, a minimum number of Outstanding state schools, a ma
- check_london_postcode: Open-data facts at one full London postcode (e.g. "E17 4QH"): the Environment Agency flood zone at its centre; whether its centre is inside a conservation area, listed building outline, Article 4 direction area or tree preservation order area (planning.data.gov.uk, with "unknown"
- get_district_profile: Open-data profile of one London postcode district: HM Land Registry median sold prices of existing flats and houses (12 months, with sales counts and London figures) and five years of yearly medians, police.uk residential crime per 1,000 residents against London, Ofsted grades of
- get_commute_times: Typical door-to-door public transport minutes (TfL Journey Planner, 09:00 weekday departure) from a London postcode district to London work hubs, quickest first, with the district's quickest sector. Hubs: canary-wharf (Canary Wharf), city-of-london (Bank / Liverpool Street / Moor
- rank_london_districts: London postcode districts ranked on one open-data measure: lowest_crime_rate (police.uk residential crime per 1,000 residents), cheapest_houses (Land Registry median sold price of existing houses; flats are not ranked), most_outstanding_schools (Ofsted), or shortest_commute (need
- compare_london_districts: Side-by-side open-data figures for 2 to 6 London postcode districts and London as a whole: median sold price of existing houses, residential crime per 1,000 residents, Outstanding state schools, share of postcodes in flood zone 3, Band D council tax, the main borough's ONS offici

Screening checks:
- MCP handshake: pass (Answered in 615ms)
- Domain against threat feeds (Cloudflare security DNS): pass (wheretolive.xyz not flagged)
- Published packages against the OSV malicious-package database: n/a (No npm or PyPI package published)
- Hidden instructions or invisible characters in tool text: pass (7 tools read, nothing found)
- Inputs asking for passwords, card numbers or seed phrases: pass (None found)
- Domain and redirects: pass (No redirects off the domain)
- AI review of purpose and tool behavior: pass (No concerns)