# Close Knit Muse connector

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

## Close Knit

Research London neighbourhoods by crime, schools, prices, commute and local data to find where to live.

- Record: https://musedirectory.ai/connector/close-knit
- Category: Research & Data
- Developer: Close Knit (https://getcloseknit.com)
- 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, 1371ms, checked 2026-10-29T10:31:18Z
- Endpoint: https://getcloseknit.com/mcp
- Auth: No account needed; Pricing: unknown
- Screening: Screened, no issues found (2026-10-28T15:37:24Z)
- Source: Found in the official MCP Registry (com.getcloseknit/close-knit) https://registry.modelcontextprotocol.io/v0/servers?search=com.getcloseknit%2Fclose-knit

Connects to London property market data, crime records, schools, transport and local amenities. Helps renters and buyers shortlist neighbourhoods by budget, priorities and commute, assess listings against local evidence, and track new properties matching their search.

Example request: "Show me safe, affordable neighbourhoods in zones 2-3 with good schools and a 30-minute commute to King's Cross."

How to connect: Not in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use Close Knit to help me. It is a free service with an MCP server at https://getcloseknit.com/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_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) and optional stations or local authorities to live near.
- 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, 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 suc
- find_similar_areas: 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_area_overview: One neighbourhood in detail for a decision: local market (sales, turnover, leasehold share, £/m² medians, growth), the local authority's official UK HPI (hpi: average price by type, 1/5/10-year change vs its region: quote this for how prices moved), £/m² price trend, crime with i
- assess_listing: 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 local authority's official HPI, costs (stamp duty on the asking price, the council tax by band), crime w
- list_metrics: List every area metric the active release serves by theme (id, label, unit), plus the My match factors (theme my-match-factors: disorder, epc-share, leasehold-share, schools) that get_area_metric and rank_areas_by_metric also read. Call first to learn valid metric_id values; deta
- search_areas: 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. It only looks names up: to shortlist
- get_area_metric: Evidence-backed value of one metric for one area in one month: value, regional (regionPercentile: 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 
- rank_areas_by_metric: 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 '
- get_address_history: 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
- get_home_prices: One 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 (
- 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). Returns a match-pack.v2 with the best top_n (default 20, max 100) areas as a list with score, rank and percentile pe
- get_market_depth: 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 t
- get_nearby_sales_summary: 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 
- get_area_evidence_pack: 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. Ev
- search_places: 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
- 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. Pla
- get_flood_risk: 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_rent_levels: 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.
- get_listing_search_links: 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.
- list_custom_presets: 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 fewe
- evaluate_custom_criterion: Evaluate a criterion from places on the map for every neighbourhood in England (London in depth) ('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 
- 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 for a scheduled task in the user's Claude that reports only new listings. Stateless: nothing is stored on Close Knit.
- 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 them the message first. Describe the product and what happened, never the person: no names, contact details, addresses, family, budget or ot
- rank_schools: Rank schools against the user's weighted criteria (1-8: any school measure from list_school_measures, weight 1-5, higher or lower is better, optional must range) within a pool (near a point, one council, one region, or England) and the map's Schools filter (phase, Ofsted, type, i
- list_school_measures: The rankable school measures for rank_schools: id, label, unit, default direction, and whether it is a pupil-mix measure that cannot be ranked now.
- rate_answer: Rate a Close Knit answer by its callId: rating 1-5, what was good, what was bad or missing, the fix you would want. Use it for the last answer in a conversation; earlier ones go in the next call's rate_previous. It describes the answer, never the user.

Screening checks:
- MCP handshake: pass (Answered in 1106ms)
- Domain against threat feeds (Cloudflare security DNS): pass (getcloseknit.com, github.com 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 (24 tools read, nothing found)
- Inputs asking for passwords, card numbers or seed phrases: pass (None found)
- Domain and redirects: pass (Domain registered 13 days ago)
- AI review of purpose and tool behavior: pass (No concerns)