LetsFG — Flights & Hotels
Search and book flights and hotels: hundreds of airlines, plus bookable hotel rates.
作者による説明(英語の原文)
Neighbourhood and home evidence for England, London in depth: prices, rents, schools, crime, travel.
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
チェック 4/5 合格 · 質問内容は提供元のサーバー(getcloseknit.com)を通ります
まず:どの AI を使っていますか?
使っているアプリを選ぶと、下に手順が表示されます。
Claude につなげます · 約 2 分
キー不要、インストール不要 · claude.ai かデスクトップアプリで一度設定すれば、チャットで使えます · 無料アカウントは 1 つまで
CustomizeConnectors
ここからコピーして Claude の同じ名前の欄に貼り付け、Continue を押します
Close Knithttps://getcloseknit.com/mcpAuthentication は Claude が検出したままにして Add を押します
+ConnectorsClose Knit
Close Knit を使って、私に何ができるか教えて、1 つやってみせて✓ Claude が Close Knit を使っていると言うか、回答に Close Knit のツール名が出れば接続成功です
メニュー名は 2026年11月11日 に Anthropic のヘルプページで確認 · アプリのバージョンにより画面が少し違うことがあります
ChatGPT は法人向けプランのみ接続できます
Web 版 ChatGPT Business・Enterprise・Edu で、ワークスペースの管理者かオーナーが追加します · Free・Plus・Pro の場合:あなたの ChatGPT プランではまだ MCP を自分でつなげません
Plugins+Add custom MCP server
名前を入れ、Connection にアドレスを貼り付け、注意事項にチェックして Create as a plugin を押します
Close Knithttps://getcloseknit.com/mcp新しいチャットを開き、入力前にプラグインの一覧から Close Knit を選びます
Close Knit を使って、私に何ができるか教えて、1 つやってみせて✓ ChatGPT が Close Knit を使っていると言うか、回答に Close Knit のツール名が出れば接続成功です
メニュー名は 2026年11月11日 に OpenAI のヘルプページで確認 · アプリのバージョンにより画面が少し違うことがあります
Claude Code につなげます · 約 2 分
キー不要、インストール不要
Mac:Command+スペースで Terminal と入力 · Windows:PowerShell を開く
claude mcp add --transport http close-knit https://getcloseknit.com/mcpClose Knit が一覧にあり、接続済みと表示されれば OK です
Close Knit を使って、私に何ができるか教えて、1 つやってみせて✓ Claude Code が Close Knit を使っていると言うか、回答に Close Knit のツール名が出れば接続成功です
メニュー名は 2026年11月11日 に Anthropic のヘルプページで確認 · アプリのバージョンにより画面が少し違うことがあります
Cursor につなげます · 約 2 分
キー不要、インストール不要
Close Knit を使って、私に何ができるか教えて、1 つやってみせて✓ Cursor が Close Knit を使っていると言うか、回答に Close Knit のツール名が出れば接続成功です
メニュー名は 2026年11月11日 に Cursor のヘルプページで確認 · アプリのバージョンにより画面が少し違うことがあります
VS Code につなげます · 約 2 分
キー不要、インストール不要
Close Knit を使って、私に何ができるか教えて、1 つやってみせて✓ VS Code が Close Knit を使っていると言うか、回答に Close Knit のツール名が出れば接続成功です
メニュー名は 2026年11月11日 に VS Code のヘルプページで確認 · アプリのバージョンにより画面が少し違うことがあります
Windsurf、Zed、Gemini CLI など MCP を使える他のアプリは追加方法がそれぞれ違います。アプリ一覧で確認してください
Web 経由でつなぐアプリ用のアドレス
https://getcloseknit.com/mcpJSON 設定は下の「開発者向け」にあります
Claude Code
claude mcp add --transport http close-knit https://getcloseknit.com/mcpCursor (~/.cursor/mcp.json)
{
"mcpServers": {
"close-knit": {
"url": "https://getcloseknit.com/mcp"
}
}
}VS Code (mcp.json)
{
"servers": {
"close-knit": {
"type": "http",
"url": "https://getcloseknit.com/mcp"
}
}
}この設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
このサーバーのつなぎ方と、各アプリの公式ドキュメントに基づきます。2026年11月10日に確認。
インターネット経由でつなげるアプリ
ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast
ツールの名前と説明は、サーバーが2026年11月9日に返したそのままの内容です。書いたのは作者で、私たちではありません。プレーンテキストとして表示しています。
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, good primaries) and optional stations or local authoriti
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 suc
find_similar_areasNeighbourhoods 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_overviewMoved: use get([id]). Answers until 2026-11-30.
assess_listingCheck 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_dataThe 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
getEverything 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
queryAnalyse 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_placesThe 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_metricsMoved: use describe_data(). Answers until 2026-11-30.
search_areasMoved: use search_places(q). Answers until 2026-11-30.
get_area_metricMoved: use get([id], select: ["layers. "]). Answers until 2026-11-30.
rank_areas_by_metricMoved: use query(saved: "metric: "). Answers until 2026-11-30.
get_address_historyMoved: use get(["uprn:…"], select: ["history"]). Answers until 2026-11-30.
get_home_pricesMoved: use get(["uprn:…"]). Answers until 2026-11-30.
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 pe
get_market_depthMoved: use get([id], select: ["market"]). Answers until 2026-11-30.
get_nearby_sales_summaryMoved: use get(["uprn:…"], select: ["nearby-sales"]). Answers until 2026-11-30.
get_area_evidence_packMoved: use get([id], sections: ["pack"]). Answers until 2026-11-30.
search_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 TfL
get_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. Pla
get_flood_riskMoved: use get([pc | uprn | id], select: ["flood"]). Answers until 2026-11-30.
get_rent_levelsMoved: use get([id], select: ["rents"]). Answers until 2026-11-30.
get_listing_search_linksPre-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_presetsMoved: use describe_data(kind: "custom"). Answers until 2026-11-30.
evaluate_custom_criterionMoved: use query(saved: "custom: "). Answers until 2026-11-30.
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 ot
rank_schoolsMoved: use query(kind: "school"). Answers until 2026-11-30.
list_school_measuresMoved: use describe_data(kind: "school"). Answers until 2026-11-30.
rate_answerRate 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
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月12日にチェック
公開者(getcloseknit.com)がリポジトリの所有者(bmsdave)ではありません。別の人が登録した可能性があります
コードの最終更新:12 日前
MITを使用
414ミリ秒で応答(HTTP 200)
サインイン不要
31件のツールの説明を読み、AIへの隠れた指示は見つかりませんでした
質問、コツの共有、使えないことの報告ができます。「役に立った」の多い順です。
まだレビューはありません
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック5項目のうち4項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
レジストリには必須のキーは載っていません。ただし、最初に使うときにサインインを求めるサーバーもあります。
作者のクラウドで動きます。インストール不要でインターネット経由でつながりますが、送った内容は作者のサーバーを通ります。
GitHubリポジトリの最終更新は12 日前、最新バージョン(2.2.0)がレジストリに届いたのは一昨日です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。URL で接続するので、リモート MCP に対応したアプリでも使えます(例:ChatGPT Business 以上)。
同じカテゴリには:LetsFG — Flights & Hotels, Google Maps MCP Server, Mu
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:↓ 週あたりのダウンロードi★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
Search and book flights and hotels: hundreds of airlines, plus bookable hotel rates.
18 Google Maps tools for AI agents — geocode, search, directions, weather, and more.
News, web search, mail, markets, weather, places, files, calendar, contacts. 67 tools, one endpoint.
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
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
com.getcloseknit/close-knit| Group | Tool | What it does |
|---|---|---|
| Home search | find_areas | Shortlist neighbourhoods for a household: budget, bedrooms, places they travel to, weighted priorities. |
match_areas | Score every area against a household's ordered criteria. | |
find_similar_areas | Neighbourhoods like one the user liked, optionally only cheaper ones. | |
open_shared_search | Open a search shared from the Close Knit site (a #profile= link). | |
search_places | Resolve a station, borough, neighbourhood, postcode or street the user mentions. | |
get_commute | Door-to-door weekday-morning minutes from an area to the user's places (public transport, bike and more). | |
| Areas | search_areas | Resolve free text (area name, ONS code, postcode, street) to area ids. |
get_area_overview | One neighbourhood in detail: local market, schools, noise, price trend. | |
get_area_evidence_pack | One cited evidence pack for an area: market depth, crime, noise, schools and more. | |
list_metrics | Every area metric served, with unit, direction, periods and provenance. | |
get_area_metric | One metric for one area and month, with percentiles within its region and across England. | |
rank_areas_by_metric | Rank all areas, or one region's, by one metric and return the top N. | |
get_flood_risk | Flood bands for an area's land and, with a UPRN, for one home. | |
get_rent_levels | Median monthly rent by bedroom count. | |
| Homes and prices | get_home_prices | One home's recorded sales and the range of prices in its area today. |
get_address_history | Recorded sale prices for one address (HM Land Registry). | |
get_nearby_sales_summary | Counts and median £/m² of recorded sales in the same building and street. | |
get_market_depth | Local market depth: sales in the last 12 months, turnover, leasehold share. | |
| Listings | get_listing_search_links | Pre-filtered portal searches for the postcode districts of shortlisted areas. |
assess_listing | Check one listing's asking price and facts against local evidence. | |
build_watch_spec | Turn a finished search into a watch for new listings. | |
| Your own criteria | list_custom_presets | Ready-made criteria built from places on OpenStreetMap. |
evaluate_custom_criterion | Evaluate a criterion such as "more cafés than kebab shops" for every neighbourhood. | |
| Schools | rank_schools | Rank schools on weighted measures near a point, in one council, one region or England. |
list_school_measures | The school measures rank_schools can rank by. | |
| Feedback | send_feedback | Send feedback to the Close Knit team, only after the user agrees. |
Close Knit. Remote MCP server URL: https://getcloseknit.com/mcp. Click Continue.On Team and Enterprise plans an owner adds it under Organization settings > Connectors. Free plans allow one custom connector.
claude mcp add --transport http close-knit https://getcloseknit.com/mcp
Add to ~/.codex/config.toml and restart Codex:
[mcp_servers.close_knit]
url = "https://getcloseknit.com/mcp"
Close Knit. Under Connection, Server URL: https://getcloseknit.com/mcp.@ 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 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.
https://getcloseknit.com/mcp and click Next, then follow the on-screen steps.@ 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.
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" } } }
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" } } }
Close Knit. MCP Server URL: https://getcloseknit.com/mcp.closeknit. Server URL: https://getcloseknit.com/mcp.Adding a connector needs an administrator; on Free, Pro and Student plans the account owner is the administrator.
https://getcloseknit.com/mcp.On Business and Enterprise plans a team admin adds connectors first.
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.
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"
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" } } }
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.
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.
No account and no personal data are needed. send_feedback only sends what you write, and only after you agree.