프로토타입 · 미리 보기: 공식 레지스트리의 모든 서버를 담고 있으며 30분마다 동기화해요. 리뷰와 계정 기능은 다음 단계에서 열려요.
PopNx MCPAI를 쓰는 사람을 위한 MCP 서버 · 쉬운 말로 설명해요

Close Knit

제작자: bmsdave버전 2.0.8i★ –i클라우드에서 실행
레지스트리 이름com.getcloseknit/close-knit

설치

개요

제작자가 쓴 설명(영어 원문)

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

PopNx MCP의 세 기둥

이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.

할 수 있는 일

이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.

  • 연결 방식: 클라우드에서 실행
  • 전송 방식: Streamable HTTP
  • 카테고리: 기타

설치

쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.

설치하기 전에

필요한 것

어떤 앱을 쓰세요?

위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.

웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:

  1. Settings → Connectors 열기
  2. Add custom connector 누르기
  3. 아래 주소를 붙여 넣고 Add 누르기
  4. 로그인하라고 하면 제작자의 서비스에 로그인하기
SettingsConnectors1+ Add2https://…3
https://getcloseknit.com/mcp

터미널에서 이 명령어를 실행하세요

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

Cursor에서 열기

또는 설정을 직접 복사하기

프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요

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

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

VS Code에서 열기

또는 설정을 직접 복사하기

프로젝트의 .vscode/mcp.json에 붙여 넣으세요

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

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:

  1. 웹에서 ChatGPT 열기 → Settings → Connectors (Apps)
  2. Create 또는 Add 누르기(일부 요금제는 먼저 Advanced에서 Developer mode를 켜야 해요)
  3. 아래 주소를 붙여 넣고 이름을 정한 뒤 저장하기
  4. 로그인하라고 하면 제작자의 서비스에 로그인하기
SettingsConnectors1+ Create2https://…3
https://getcloseknit.com/mcp

메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.

선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.

이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.

할 수 있는 일

도구 이름과 설명은 서버가 2026년 11월 6일에 알려 준 그대로예요. 우리가 아니라 제작자가 쓴 글이고, 일반 텍스트로만 보여 드려요.

  • 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 authoriti

  • 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 (cheaper_by_percent lower £/m², crime no more than 10 points worse) and within max_budget for bedrooms: 'like this but cheaper / elsewhere

  • get_area_overview

    Moved: use get([id]). Answers until 2026-11-30.

  • 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-based ballpark) or median price, the LSOA then its MSOA (all types only as indicative-only), typicalPrice, a flood line, turnover, growth, the

  • 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 with metric counts and 2-3 headline metrics, Census in one line, places in one line, the entity kinds). theme='crime' lists that theme's me

  • 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: , school: , 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') lis

  • 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 region or typed area ids; filters by value {metric, min, max}, percentile in scope {metric, pct_min}, vs the scope's reference {metric, vs: a

  • 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) or inside an area, by category (describe_data(kind: 'place') lists them) and brand (PureGym, Waitrose). Each: name, category, brand, metre

  • list_metrics

    Moved: use describe_data(). Answers until 2026-11-30.

  • search_areas

    Moved: use search_places(q). Answers until 2026-11-30.

  • get_area_metric

    Moved: use get([id], select: ["layers. "]). Answers until 2026-11-30.

  • rank_areas_by_metric

    Moved: use query(saved: "metric: "). Answers until 2026-11-30.

  • get_address_history

    Moved: use get(["uprn:…"], select: ["history"]). Answers until 2026-11-30.

  • get_home_prices

    Moved: use get(["uprn:…"]). Answers until 2026-11-30.

  • 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

    Moved: use get([id], select: ["market"]). Answers until 2026-11-30.

  • get_nearby_sales_summary

    Moved: use get(["uprn:…"], select: ["nearby-sales"]). Answers until 2026-11-30.

  • get_area_evidence_pack

    Moved: use get([id], sections: ["pack"]). Answers until 2026-11-30.

  • 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

    Moved: use get([pc | uprn | id], select: ["flood"]). Answers until 2026-11-30.

  • get_rent_levels

    Moved: use get([id], select: ["rents"]). Answers until 2026-11-30.

  • get_listing_search_links

    Pre-filtered searches on Rightmove, Zoopla, OnTheMarket (and OpenRent for rentals) for the postcode districts of shortlisted areas, filtered by bedrooms, price and property_type (house, flat, bungalow). Links only: open them on the user's behalf to read listings; Close Knit itsel

  • list_custom_presets

    Moved: use describe_data(kind: "custom"). Answers until 2026-11-30.

  • evaluate_custom_criterion

    Moved: use query(saved: "custom: "). Answers until 2026-11-30.

  • 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

    Moved: use query(kind: "school"). Answers until 2026-11-30.

  • list_school_measures

    Moved: use describe_data(kind: "school"). Answers until 2026-11-30.

  • rate_answer

    Rate a Close Knit answer by its callId (none: the last answer): 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. Sto

기본 점검i

누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검

  • ! 주의

    제작자와 저장소 일치

    게시자(getcloseknit.com)가 저장소 소유자(bmsdave)가 아니에요. 다른 사람이 등록했을 수 있어요

  • … 아직 점검 안 함

    계속 관리되고 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • … 아직 점검 안 함

    라이선스 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • ✓ 통과

    엔드포인트 응답

    397ms 만에 응답(HTTP 200)

  • – 해당 없음

    OAuth로 로그인

    로그인 필요 없음

  • ✓ 통과

    도구 설명에 숨겨진 지시 없음

    도구 설명 31개를 읽었고, AI에게 보내는 숨겨진 지시는 없었어요

기타 카테고리의 다른 서버와 비교i

  • 이 카테고리의 다른 서버 32589개 중 0%보다 스타가 많아요
  • 이 카테고리의 다른 서버 32589개 중 83%보다 최근에 레지스트리에 공개됐어요
  • 기본 점검 결과가 이 카테고리의 다른 서버 32589개 중 37%와 같거나 더 좋아요

레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.

자주 묻는 질문

Close Knit, 안전한가요?

해당하는 기본 점검 3개 중 2개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.

어떤 키나 코드가 필요한가요?

레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.

내 컴퓨터에서 실행되나요, 클라우드에서 실행되나요?

제작자의 클라우드에서 실행돼요. 설치 없이 인터넷으로 연결하지만, 보내는 내용은 제작자의 서버를 거쳐요.

아직 관리되고 있나요?

GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(2.0.8)은 7일 전 레지스트리에 올라왔어요.

어떤 앱에서 쓸 수 있나요?

Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.

대신 쓸 수 있는 건 뭐가 있나요?

같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, Detailing Manager

대안

같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.

카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i

Spec Driven Development

제작자: formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

내 컴퓨터에서 실행★ 440MIT14개월 전 업데이트
설치

Remote Desktop Commander

제작자: desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

클라우드에서 실행★ 211어제 업데이트
설치

Detailing Manager

제작자: RadoslavMoshev

Connect your auto detailing studio's tasks, cars, clients and revenue to Claude or ChatGPT.

내 컴퓨터에서 실행오늘 업데이트
설치

제작자의 README

README 열기

제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.

Close Knit MCP server

Close Knit gives AI assistants evidence about neighbourhoods and homes in England, with London in depth, to help people choose where to live. It is a remote MCP server: recorded sale prices, rents, crime, schools, flood risk, commute times, noise and more, from official open data. Every tool answer is an evidence envelope with a value, a confidence, the evidence[] behind it, its sources[] (with licence) and caveats[]. Every neighbourhood and local authority in England is covered; London adds address-level sale history, door-to-door TfL commute times and London-only layers. Ranks and percentiles compare an area with its own region (rankScope names it). It is free, with no account or sign-in. Website: https://getcloseknit.com · Setup for every assistant: https://getcloseknit.com/agents.

https://getcloseknit.com/mcp
  • Transport: Streamable HTTP
  • Authentication: none (no account, no OAuth, no API key)
  • MCP Registry name: com.getcloseknit/close-knit

Tools

GroupToolWhat it does
Home searchfind_areasShortlist neighbourhoods for a household: budget, bedrooms, places they travel to, weighted priorities.
match_areasScore every area against a household's ordered criteria.
find_similar_areasNeighbourhoods like one the user liked, optionally only cheaper ones.
open_shared_searchOpen a search shared from the Close Knit site (a #profile= link).
search_placesResolve a station, borough, neighbourhood, postcode or street the user mentions.
get_commuteDoor-to-door weekday-morning minutes from an area to the user's places (public transport, bike and more).
Areassearch_areasResolve free text (area name, ONS code, postcode, street) to area ids.
get_area_overviewOne neighbourhood in detail: local market, schools, noise, price trend.
get_area_evidence_packOne cited evidence pack for an area: market depth, crime, noise, schools and more.
list_metricsEvery area metric served, with unit, direction, periods and provenance.
get_area_metricOne metric for one area and month, with percentiles within its region and across England.
rank_areas_by_metricRank all areas, or one region's, by one metric and return the top N.
get_flood_riskFlood bands for an area's land and, with a UPRN, for one home.
get_rent_levelsMedian monthly rent by bedroom count.
Homes and pricesget_home_pricesOne home's recorded sales and the range of prices in its area today.
get_address_historyRecorded sale prices for one address (HM Land Registry).
get_nearby_sales_summaryCounts and median £/m² of recorded sales in the same building and street.
get_market_depthLocal market depth: sales in the last 12 months, turnover, leasehold share.
Listingsget_listing_search_linksPre-filtered portal searches for the postcode districts of shortlisted areas.
assess_listingCheck one listing's asking price and facts against local evidence.
build_watch_specTurn a finished search into a watch for new listings.
Your own criterialist_custom_presetsReady-made criteria built from places on OpenStreetMap.
evaluate_custom_criterionEvaluate a criterion such as "more cafés than kebab shops" for every neighbourhood.
Schoolsrank_schoolsRank schools on weighted measures near a point, in one council, one region or England.
list_school_measuresThe school measures rank_schools can rank by.
Feedbacksend_feedbackSend feedback to the Close Knit team, only after the user agrees.

Add Close Knit to your assistant

Claude (claude.ai)
  1. Open Customize > Connectors.
  2. Click + Add, then Add custom connector.
  3. Name: Close Knit. Remote MCP server URL: https://getcloseknit.com/mcp. Click Continue.
  4. Under Authentication, choose no sign in, then click Add.
  5. In a chat, click + at the lower left, choose Connectors and turn Close Knit on.

On Team and Enterprise plans an owner adds it under Organization settings > Connectors. Free plans allow one custom connector.

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

Add to ~/.codex/config.toml and restart Codex:

[mcp_servers.close_knit]

url = "https://getcloseknit.com/mcp"

ChatGPT
  1. Open Plugins at chatgpt.com/plugins.
  2. Select the plus button, then Add custom MCP server.
  3. Name: Close Knit. Under Connection, Server URL: https://getcloseknit.com/mcp.
  4. Authentication: No authentication.
  5. Review the warning, select I understand and want to continue, then Create as a plugin.
  6. Install the plugin, then type @ in the prompt box and select Close Knit.

Custom MCP servers are available on ChatGPT web; which plans and workspaces allow them depends on your account and workspace settings.

Gemini CLI
gemini extensions install https://github.com/bmsdave/close-knit-mcp

This repository is a Gemini CLI extension: gemini-extension.json connects the remote server and GEMINI.md gives the model short guidance. Restart Gemini CLI after installing.

Gemini app
  1. At gemini.google.com, click Settings, then Connected Apps.
  2. Under Custom apps, click Add a custom app.
  3. Enter https://getcloseknit.com/mcp and click Next, then follow the on-screen steps.
  4. In a prompt, type @ and select Close Knit.

Google currently limits custom apps to people aged 18 or over in the US, signed in with a personal Google Account, with Keep Activity on.

Cursor

The same install link in Cursor's own format:

cursor://anysphere.cursor-deeplink/mcp/install?name=close-knit&config=eyJ1cmwiOiJodHRwczovL2dldGNsb3Nla25pdC5jb20vbWNwIn0%3D

Or add it to mcp.json:

{

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

VS Code

Or run MCP: Add Server from the Command Palette, choose HTTP, and enter https://getcloseknit.com/mcp. In .vscode/mcp.json:

{

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

Perplexity
  1. Open Plugins in the sidebar (or Customize > Connectors).
  2. Select Add custom, then Connector, then Add MCP connector, and choose Remote.
  3. Name: Close Knit. MCP Server URL: https://getcloseknit.com/mcp.
  4. Authentication: None. Transport: Streamable HTTP.
  5. Tick the acknowledgement box, click Add, then click the connector card to enable it.
Mistral Le Chat
  1. Open the Connectors page.
  2. Click + Add Connector and switch to the Custom MCP Connector tab.
  3. Connector name: closeknit. Server URL: https://getcloseknit.com/mcp.
  4. Click Connect. No authentication is needed.

Adding a connector needs an administrator; on Free, Pro and Student plans the account owner is the administrator.

Grok
  1. Go to grok.com/connectors.
  2. Click New Connector, then select Custom.
  3. Enter https://getcloseknit.com/mcp.

On Business and Enterprise plans a team admin adds connectors first.

Windsurf (Devin Desktop)

In the Cascade panel, open the ... menu, and in the MCPs section click Open MCP config file. Add:

{

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

Save the file.

Goose

Desktop: open Extensions in the sidebar, click Add custom extension, choose the Streamable HTTP type and enter https://getcloseknit.com/mcp.

CLI: run goose configure, choose Add Extension, then Remote Extension (Streamable HTTP), and enter the URL. For a single session:

goose session --with-streamable-http-extension "https://getcloseknit.com/mcp"
LM Studio

Or open the Program tab in the right-hand sidebar, click Install > Edit mcp.json, and add:

{

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

Example answers

Answers from the live server, October 2026. Figures change with each data release.

"How much crime is there around Clapham Junction?" search_areas finds the neighbourhood (Wandsworth 012A, SW11) and get_area_metric(crime) answers: 74.4 recorded crimes per 1,000 residents in the 12 months to August 2026, a higher rate than 58% of London's neighbourhoods and 65% of England's; the largest categories are violence and sexual offences and anti-social behaviour. Source: police.uk street crime, Open Government Licence v3.0. Confidence high (observed, not modelled).

"Where in the North West are homes cheapest per square metre?" rank_areas_by_metric with region: "North West" puts three Blackpool neighbourhoods first at £970/m², tied. Confidence medium: they had too few sales of their own, so the figure is their MSOA's (quality: "fallback"). Source: HM Land Registry Price Paid with EPC floor areas.

"Help me find a 2-bed flat to buy in London under £600k, within 30 minutes of King's Cross." search_places resolves King's Cross, find_areas returns a ranked shortlist with each area's standing, what it meets ("4 of 5"), its commute and ballpark price, and an "Open in Close Knit" link to the same search on the map; get_listing_search_links then opens pre-filtered searches on the property portals.

Every tool, with its full input schema, is also listed in the server card: https://getcloseknit.com/.well-known/mcp/server-card.json.

Data and licences

The answers come from official open data, mostly under the Open Government Licence v3.0: HM Land Registry Price Paid Data and UK House Price Index, ONS Census 2021 and other ONS statistics, police.uk street crime, Ofsted and Department for Education school data, Environment Agency flood risk, Defra noise maps, Ofcom broadband coverage, MHCLG deprivation (IMD 2025) and planning data, Ordnance Survey OpenData, Transport for London open data ("Powered by TfL Open Data") and OpenStreetMap (© OpenStreetMap contributors, ODbL 1.0). Each answer lists its own sources and licences in sources[]; keep those attributions when you reuse the data.

The MIT licence in this repository covers the files in this repository only. The data served by the MCP server keeps its own licences.

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Licence

MIT

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