KitScout

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Close Knit

MCP serverVerified domain · getcloseknit.comRemote● LiveFree to try

Neighbourhood and home evidence for England, London in depth: prices, rents, schools, crime, travel.

Install

Remote server: your requests and data go to getcloseknit.com. Claude Code: claude mcp add --transport http close-knit https://getcloseknit.com/mcp · Claude app: Settings → Connectors → Add custom connector.

What it can do

The tools this server listed when we connected to it, in its own words.

  • find_areas — Shortlist neighbourhoods in England (London in depth) for a household: budget, bedrooms, weighted priorities (crime, station access, price l
  • open_shared_search — Open a search the user shared from the Close Knit site (a link with #profile=v1., v2. or v3.): their budget, priorities, places (gym, work,
  • find_similar_areas — Neighbourhoods like one the user liked (crime, deprivation, income, price level and station access percentiles), optionally only cheaper one
  • assess_listing — Check one listing the user found against local evidence: asking price vs the same home type's recorded £/m² (with floor area or a bedroom-ba
  • describe_data — The map of Close Knit's data; call it first, and whenever you are unsure of a metric, path or category name. No arguments: a summary (themes
  • get — Everything about 1-10 things by typed id: uk:lsoa:E01…, uk:msoa:E02…, uk:lad:E09…, uk:rgn:E12…, sector:e17-4, pc:E17 4PP, uprn:<digits>, sch
  • query — Analyse many areas or schools with a JSON query (never SQL). kind='area' (default): level lsoa, msoa, lad or rgn; scope england, london, a r
  • get_places — The places themselves (2.58 m: shops, gyms, cafes, parks, pubs, GPs, ... in 234 categories) near a typed id or {lat, lon} (radius_m 100-3000
  • search — For deep research: areas, postcodes, schools, stations and parks (as their area) and guide articles by words; results [{id, title, url}], re
  • fetch — For deep research: one search result by id as text with its page url to cite (an area: every section's headline facts, caveats, sources; a g
  • match_areas — Score every area against a household's ordered criteria (preference-profile.v2: budget, ranges on any map layer, places, where zones, own cr
  • search_places — Resolve a place the user mentions (station, borough, neighbourhood, postcode, street) to ids. Station lookup forgives spelling (Kings Cross,
  • get_commute — Door-to-door minutes from one neighbourhood to the user's places on a weekday morning, by public transport (R5 on TfL timetables), bike (at
  • get_listing_search_links — Pre-filtered searches on Rightmove, Zoopla, OnTheMarket (and OpenRent for rentals) for the postcode districts of shortlisted areas, filtered
  • build_watch_spec — Turn a finished search into a watch: portal searches per postcode district, filters, a state file path for de-duplication and a ready prompt
  • check_area_rent — Rent prices in an area by bedrooms or home type (ONS Price Index of Private Rents, borough-wide): the average, London's, the trend and 24 mo
  • send_feedback — Send feedback about Close Knit to the team: a bug, missing or wrong data, an idea, or what worked. Call it only after the user agrees: show
  • rate_answer — Pass on the user's rating of the last Close Knit answer in this conversation, when they give one or agree to it: rating 1-5, what was good,

KitScout test notes

Not tested by KitScout yet. When our harness runs it, pros, cons and the tasks we tried appear here, with the date and evidence.

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