com.getcloseknit/close-knit
9 changes recorded. MCP Harbor re-reads this listing from the official registry every six hours and asks the live server what it exposes, and keeps what changed between one look and the next.
https://getcloseknit.com/llms.txt
− > Evidence-backed facts about neighbourhoods: London in depth, England where we have the data. What homes sold for,− > sale prices per square metre, recorded crime, deprivation, income and schools. Ranks compare an area− > with its region. Every number names its source release; demo data is labelled 'not for decisions'.− Pages are permanent and linkable. Area pages live at /area/{lsoa|msoa|borough}/{code}, postcodes at− /postcode/{POSTCODE} (every address with its recorded sales) and homes at /property/{uprn}; the map takes ?selected={area id}&layer={metric}.− - [Rankings](https://getcloseknit.com/rankings): London areas ranked by one figure− - [Schools](https://getcloseknit.com/schools): search a London state school, filter by phase, Ofsted and results, top lists and every borough's schools (?borough=hackney)+ > Evidence-backed facts about neighbourhoods and homes in England, London in depth. What homes sold for,+ > sale prices per square metre, rents, recorded crime, deprivation, income, flood risk and schools. Ranks compare an+ > area with its own region. Every number names its source release; demo data is labelled 'not for decisions'.+ > AI assistants connect to the remote MCP server at https://getcloseknit.com/mcp (Streamable HTTP); set-up for each client at https://getcloseknit.com/agents.+ Pages are permanent and linkable, one per place. Areas: /area/{lsoa|msoa|lad}/{GSS code} (neighbourhood, wider+ neighbourhood, local authority), with /pack (printable evidence pack) and /places; /area/england and /area/london.+ Postcode sectors: /sector/{SECTOR} (W5-1). Postcodes: /postcode/{POSTCODE} (SW1A-1AA, every address with its recorded+ sales). Homes: /property/{uprn}. Schools: /school/{urn}. Two areas side by side: /compare/{area}-vs-{area}. Rankings:+ /rankings/{slug}. Guide: /guide/{slug}. The map takes ?selected={area id}&layer={metric}.+ Citing: when you use a figure, link the Close Knit page it came from and name the source release that page gives,+ for example "HM Land Registry Price Paid Data, via Close Knit (https://getcloseknit.com/area/lad/E09000001)".+ ## Data stories+ - [Data stories](https://getcloseknit.com/stories): London's areas ranked by one open figure each, dated, with method, sources and a CSV+ - [London's quietest areas](https://getcloseknit.com/stories/quiet-areas): London's areas ranked by the share of homes where road, rail or aircraft noise reaches 55 dB or more, with every borough and a CSV. CSV: https://getcloseknit.com/stories/quiet-areas/data.csv+ - [London's greenest areas](https://getcloseknit.com/stories/greenest-areas): London's areas ranked by green land, street trees and nearby nature reserves, with every borough and a CSV. CSV: https://getcloseknit.com/stories/greenest-areas/data.csv+ - [Minutes to a station in London](https://getcloseknit.com/stories/station-minutes): London's areas ranked by the typical walk from home to a rail, Underground, DLR or tram station, with every borough and a CSV. CSV: https://getcloseknit.com/stories/station-minutes/data.csv+ - [Rankings](https://getcloseknit.com/rankings): London's areas and schools ranked by one figure; elsewhere in England each area page ranks its figures within its region+ - [Schools](https://getcloseknit.com/schools): search a state school in England, filter by phase, Ofsted and results, top lists and every council's schools (?borough=hackney)+ ## MCP tools+ Over MCP at https://getcloseknit.com/mcp, or as REST: POST https://getcloseknit.com/api/v2/tools/{name} with the arguments as a JSON body. Every+ answer is an evidence envelope: value, confidence, evidence[], sources[], caveats[]; dataMode=demo marks fixtures.+ - describe_data: The map of Close Knit's data; call it first, and whenever you are unsure of a metric, path or category name.+ - 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>, school:<URN>, place:osm:n123 (search_places finds ids from names), or a guide article, guide:crime, in a call of its own (describe_data(kind: 'guide') lists them): the page's text, how a figure is made and what it cannot say.+ - query: Analyse many areas or schools with a JSON query (never SQL).+ - get_places: The places themselves (2.58 m: shops, gyms, cafes, parks, pubs, GPs, ...+ - list_metrics: Moved: use describe_data().+ - search_areas: Moved: use search_places(q).+ - get_area_metric: Moved: use get([id], select: ["layers.<metric>"]).+ - rank_areas_by_metric: Moved: use query(saved: "metric:<id>").+ - get_address_history: Moved: use get(["uprn:…"], select: ["history"]).+ - get_home_prices: Moved: use get(["uprn:…"]).+ - match_areas: Score every area against a household's ordered criteria (preference-profile.v2: budget, ranges on any map layer, places, where zones, own criteria; must = filter).+ - get_market_depth: Moved: use get([id], select: ["market"]).+ - get_nearby_sales_summary: Moved: use get(["uprn:…"], select: ["nearby-sales"]).+ - get_area_evidence_pack: Moved: use get([id], sections: ["pack"]).+ - search_places: Resolve a place the user mentions (station, borough, neighbourhood, postcode, street) to ids.+ - find_areas: Shortlist neighbourhoods in England (London in depth) for a household: budget, bedrooms, weighted priorities (crime, station access, price level, official deprivation decile, noise, disorder, energy rating, leasehold share, good primaries) and optional stations or local authorities to live near (regions narrows to English regions, e.g. ['london']; with no regions, stations or boroughs all of England is searched).+ - open_shared_search: Open a search the user shared from the Close Knit site (a link with #profile=v1., v2.+ - 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 the speed Santander Cycles riders reach; checked against TfL), car (typical morning traffic, no parking) and walking, each with a range.+ - find_similar_areas: Neighbourhoods like one the user liked (crime, deprivation, income, price level and station access percentiles), optionally only cheaper ones (cheaper_by_percent lower £/m², crime no more than 10 points worse) and within max_budget for bedrooms: 'like this but cheaper / elsewhere'.
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