Close Knit
Research London neighbourhoods by crime, schools, prices, commute and local data to find where to live.
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.
Try asking Muse: "Show me safe, affordable neighbourhoods in zones 2-3 with good schools and a 30-minute commute to King's Cross."
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Source: Found in the official MCP Registry (com.getcloseknit/close-knit) · First listed October 28, 2026
Last 24 hours
Each bar is one check, every 15 minutes. Green means it answered. Last checked 1 h ago.
Is it safe to connect?
What Muse can see: It does not ask you to sign in, so it cannot see your accounts. It only sees what Muse sends it from your request.
Before it acts: Read what Muse plans to do before you approve it, and remove the app from Muse when you stop using it.
musedirectory.ai is not part of Meta. More about how Muse handles your information
How to add it to Muse
Not in Muse's Connectors list yet, but Muse can still use it. Copy the request below and paste it into Muse. 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.
https://getcloseknit.com/mcpNot in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
Also use it in ChatGPT or Claude
Close Knit is a remote MCP server, so any assistant that can add a custom connector by link can use it. Same link, same tools.
Add it to ChatGPT
- 1
Open ChatGPT settings
In ChatGPT, open Settings, then Connectors (called Apps & Connectors on some accounts).
- 2
Turn on developer mode
Under Advanced settings, switch on Developer mode. That is what lets you add a connector by link.
- 3
Create the connector
Choose Create, give it a name, paste the link as the MCP server URL, and save. If it needs a sign-in, ChatGPT asks for it here.
- 4
Use it in a chat
Start a chat, open the tools menu, pick the connector, and ask. ChatGPT asks before it runs a tool the first time.
Custom connectors need a paid ChatGPT plan, and on Team, Enterprise and Edu accounts only an admin can add them. Our "Working" label means the server answered us; it cannot tell whether your plan lets you add it. All connectors that work in ChatGPT
Add it to Claude
- 1
Open Claude settings
In Claude, open Settings, then Connectors.
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Add a custom connector
Choose Add custom connector, give it a name, and paste the link.
- 3
Connect and use it
If it needs a sign-in, Claude sends you to it. Then turn the connector on in a chat from the tools menu and ask.
Custom connectors are available on paid Claude plans; on Team and Enterprise accounts an admin may need to add them. Our "Working" label means the server answered us; it cannot tell whether your plan lets you add it. All connectors that work in Claude
https://getcloseknit.com/mcpWhat people ask Muse to do
Technical details: safety screening, tools, response time and recent checks
Response time at the last check: 1371ms. Worked in 100% of checks over 30 days.
Screening · October 28, 2026
Screened, no issues found
Screening looks for known threats and hidden instructions at the time of the check, and runs again weekly and whenever the tool list changes. It cannot see the server's code, so only connect what you need and review what Muse asks to do. How screening works.
Tools · 27
find_areasShortlist 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_searchOpen 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 sucfind_similar_areasNeighbourhoods 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_overviewOne 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 iassess_listingCheck 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 wlist_metricsList 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; detasearch_areasResolve 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 shortlistget_area_metricEvidence-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_metricRank 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_historyRecorded 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 theirget_home_pricesOne 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_areasScore 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 peget_market_depthLocal 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 tget_nearby_sales_summaryCounts 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_packOne 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. Evsearch_placesResolve 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 TfLget_commuteDoor-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. Plaget_flood_riskFlood 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_levelsMedian 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_linksPre-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_presetsReady-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 feweevaluate_custom_criterionEvaluate 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_specTurn 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_feedbackSend 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 otrank_schoolsRank 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, ilist_school_measuresThe 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_answerRate 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.Recent checks
Link
https://getcloseknit.com/mcpQuestions about Close Knit in Muse
How do I connect Close Knit to Muse?
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.
Is Close Knit working right now?
At the last check (October 29, 2026, 10:31 UTC) the endpoint was working, answering in 1371ms. Over the last 7 days it answered 100% of health checks. It is checked every 15 minutes.
Is Close Knit safe to connect to Muse?
It was screened on October 28, 2026 with the result "screened, no issues found". Screening checks the domain against threat feeds and reads the tools for hidden instructions and requests for passwords or card numbers. It cannot see the server's code, so grant only the access you need.
What can Close Knit do in Muse?
It exposes 27 tools, including find_areas, open_shared_search, find_similar_areas, get_area_overview. For example, you could ask Muse: "Show me safe, affordable neighbourhoods in zones 2-3 with good schools and a 30-minute commute to King's Cross."
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