MCP server

Close Knit

com.getcloseknit/close-knit

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

London neighbourhoods and homes: crime, schools, prices, rents, commute, green space, sourced.

Website Source

At a glance

Type

MCP server

Publisher

getcloseknit.com (verified by the MCP Registry)

Status

Working at last check

Tools

24

Token cost

About 15,326 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http close-knit https://getcloseknit.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.close-knit]
url = "https://getcloseknit.com/mcp"

Gemini CLI

{"mcpServers":{"close-knit":{"httpUrl":"https://getcloseknit.com/mcp"}}}

Cursor

{"mcpServers":{"close-knit":{"url":"https://getcloseknit.com/mcp"}}}

VS Code

{"servers":{"close-knit":{"type":"http","url":"https://getcloseknit.com/mcp"}}}

Antigravity

agy mcp add close-knit https://getcloseknit.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"close-knit","server_url":"https://getcloseknit.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"close-knit","server_url":"https://getcloseknit.com/mcp"}

Tools

• assess_listing ~871 tokens
  Check one listing the user found against local evidence: asking price vs the neighbourhood's recorded £/m² (with floor area or a bedroom-based ballpark), turnover, growth, the borough's official HPI, costs (stamp duty on the asking price, the borough's council tax by band), crime with its offence mi
• build_watch_spec ~349 tokens
  Turn a finished search into a watch: portal searches per postcode district, filters, a state file path for de-duplication and a ready prompt for a scheduled task in the user's Claude that reports only new listings. Stateless: nothing is stored on Close Knit.
• evaluate_custom_criterion ~1161 tokens
  Evaluate a criterion from places on the map for every London neighbourhood ('where are more cafés than kebab shops', 'most gyms in the area'), counting the places inside each neighbourhood's boundary: a preset_id or the user's own criterion (sets of OSM tag matchers and a formula). Returns the best
• find_areas ~5138 tokens
  Shortlist London neighbourhoods for a household: budget, bedrooms, weighted priorities (crime, station access, price level, official deprivation decile, noise, disorder, energy rating, leasehold share) and optional stations/boroughs to live near. Returns ranked areas with score, factor values, a bal
• find_similar_areas ~251 tokens
  Neighbourhoods like one the user liked (crime, deprivation, income, price level and station access percentiles), optionally only cheaper ones: 'like this but cheaper / elsewhere'.
• get_address_history ~195 tokens
  Recorded achieved sale prices for one address id (HM Land Registry Price Paid, GBP, with the EPC floor area where matched; no per-sale GBP/m2). These are historic transactions, never valuations or asking prices. listingLinks open the postcode on Rightmove (past listings and their photos), Zoopla and
• get_area_evidence_pack ~258 tokens
  One cited evidence pack for an area: market depth (as get_market_depth), the latest recorded crime rate, road and rail noise shares, state schools within 1.5 km with their standing Ofsted grade, and, given an address_id inside the area, its building and street sale aggregates. Every block names its
• get_area_metric ~441 tokens
  Evidence-backed value of one metric for one area in one month: value, regional (londonPercentile: within the area's region, London for a London area; rankScope names it) and England percentiles, quality, sample size, category breakdown where available, plus up to 12 prior months as evidence rows. Un
• get_area_overview ~320 tokens
  One neighbourhood in detail for a decision: local market (sales, turnover, leasehold share, £/m² medians, growth), the borough's official UK HPI (hpi: average price by type, 1/5/10-year change vs London: quote this for how prices moved), £/m² price trend, crime with its offence mix (topTypes, a busy
• get_commute ~2034 tokens
  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. Places within 1.5 km of
• get_flood_risk ~205 tokens
  Flood bands for an area's land (rivers/sea, surface water) and, with a UPRN, that home's own bands. Bands show the likelihood for an area, not a specific property: send the user to the Environment Agency check for one address.
• get_home_prices ~452 tokens
  One London home's recorded sales (date, price, HM Land Registry link) and prices in its area today: the middle half (25th-75th percentile) of same-type standard sales since three years back, each adjusted to the latest month by the local price index, with sample size and the area used (LSOA, else MS
• get_listing_search_links ~313 tokens
  Pre-filtered searches on Rightmove, Zoopla, OnTheMarket (and OpenRent for rentals) for the postcode districts of shortlisted areas. Links only: open them on the user's behalf to read listings; Close Knit itself never fetches or stores listings.
• get_market_depth ~223 tokens
  Local market depth of one LSOA or MSOA from HM Land Registry Price Paid (standard category A sales only): sales in the last 12 months, turnover (% of EPC-linked homes that sold), the leasehold share OF SALES (not of homes), new-build and resale median GBP/m2 over 36 months with the new-build premium
• get_nearby_sales_summary ~193 tokens
  Counts and median GBP/m2 of other homes' recorded sales in the same building (postcode, house number or name, street) and on the same street (other buildings) as one address id, last 10 years. The median is withheld under 5 standard sales with an EPC floor area. Summary only: no sale rows and no add
• get_rent_levels ~176 tokens
  Median monthly rent by bedroom count for areas (the figure the site shows). Borough averages per LSOA; empty for a studio or before the rents are loaded.
• list_custom_presets ~268 tokens
  Ready-made custom criteria built from places on OpenStreetMap, with neutral descriptive names: kebab shops vs cafés, specialty coffee vs kebab shops, sandwich chains vs bakery chains, independent vs chain cafés, the nearest gym or sports centre, bars, pubs and clubs (more or fewer, per 1,000 residen
• list_metrics ~220 tokens
  List every area metric the active release serves (id, unit, direction, available periods, legend, provenance, caveats), plus the My match factors (kind 'factor': disorder, epc-share, leasehold-share, schools) that get_area_metric and rank_areas_by_metric also read. Call first to learn valid metric_i
• match_areas ~689 tokens
  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). Returns a match-pack.v2 with the best top_n (default 20, max 100) areas as a list with score, rank and percentile per area, its top 2 re
• open_shared_search ~226 tokens
  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, schools…), liked and ruled-out areas and private notes, re-ranked now with the same shortlist as find_areas. Use it when the user pastes such a link or says 'di
• rank_areas_by_metric ~497 tokens
  Rank every served area (or one region's, region='North West') by one metric for one month and return the top N with rank, value, unit and quality. Tied values share a rank (competition ranking); each row carries tiedCount, the number of areas sharing its value. Use it to answer 'which areas have the
• search_areas ~179 tokens
  Resolve free text (area name, ONS code, postcode, street) to geography ids (uk:lsoa|msoa|borough:…) and, where recorded sales exist, address ids (uk:addr:…). Use the returned ids with get_area_metric, rank_areas_by_metric, get_address_history.
• search_places ~248 tokens
  Resolve a place the user mentions (station, borough, neighbourhood, postcode, street) to ids. Station lookup forgives spelling (Kings Cross, St James Park, Elephant and Castle) and knows London codes and nicknames (KX, TCR, LST, E&C, ally pally). Returns stations (osm:…, with TfL modes, lines and zo
• send_feedback Sends messages · ~419 tokens
  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 them the message first. Describe the product and what happened, never the person: no names, contact details, addresses, family, budget or other personal circums

Browse

• Claude tools
• Maps and places
• Sports
• Government and public data
• Property

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