Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
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3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
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。
必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
ウェブ、デスクトップ、モバイルのClaudeで使えます:
https://getcloseknit.com/mcpターミナルでこれを実行します
claude mcp add --transport http close-knit https://getcloseknit.com/mcpプロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"close-knit": {
"url": "https://getcloseknit.com/mcp"
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"close-knit": {
"type": "http",
"url": "https://getcloseknit.com/mcp"
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
ChatGPTがつなげるのは、インターネット上のサーバーだけです:
https://getcloseknit.com/mcpメニューの名前は、プランや時期によって少し違うことがあります。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
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。
このサーバーのツール一覧はまだ読み取っていません。エンドポイントは順番にチェックしています。
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6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
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
まだチェックしていません。エンドポイントは順番にチェックしています
まだチェックしていません。エンドポイントは順番にチェックしています
まだチェックしていません。エンドポイントをチェックするときにツール一覧を読み取ります
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1項目のうち0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–、最新バージョン(2.0.8)がレジストリに届いたのは7 日前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。URLでつながるので、リモートMCPサーバーに対応したアプリ(開発者モードのChatGPTなど)でも使えます。
同じカテゴリには:Spec Driven Development, Remote Desktop Commander, Recta
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:★ 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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Cheaper cross-chain stablecoin routes for AI agents; 5 % of the verified saving, nothing if none.
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.
MIT