Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
作者による説明(英語の原文)
homes.com real-estate for Claude — search, property details, photos, compare, mortgage math
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。
HOMES_WS_PORT, HOMES_COMMUNITIES_FILE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。
Claude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"mcpServers": {
"homes": {
"command": "npx",
"args": [
"-y",
"homes-mcp"
],
"env": {
"HOMES_WS_PORT": "your-value",
"HOMES_COMMUNITIES_FILE": "your-value"
}
}
}
}ターミナルでこれを実行します
claude mcp add homes --env HOMES_WS_PORT=your-value --env HOMES_COMMUNITIES_FILE=your-value -- npx -y homes-mcp動かす前に、空欄の値を入力してください。
プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"homes": {
"command": "npx",
"args": [
"-y",
"homes-mcp"
],
"env": {
"HOMES_WS_PORT": "your-value",
"HOMES_COMMUNITIES_FILE": "your-value"
}
}
}
}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": {
"homes": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"homes-mcp"
],
"env": {
"HOMES_WS_PORT": "your-value",
"HOMES_COMMUNITIES_FILE": "your-value"
}
}
}
}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。
これはパソコンで動くサーバーですが、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。ほかのアプリを選んでください。
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。
HOMES_WS_PORT envHOMES_COMMUNITIES_FILE env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。
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
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8日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント chrischall で確認済みです
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
これはパソコンで動くため、インターネット上のエンドポイントはありません
パソコンで動き、代わりにローカルの設定を使います
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
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1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。
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
GitHubリポジトリの最終更新は–、最新バージョン(2.2.0)がレジストリに届いたのは3 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。パソコンにNode.jsも必要です。
同じカテゴリには:Figma Context MCP, Claude Real Video, Figma MCP Server
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
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Let any LLM watch a video locally — and search everything it has ever watched.
The Figma MCP server brings Figma design context directly into your AI workflow.
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。
homes.com real-estate access as an MCP server for Claude — search listings, resolve addresses, fetch property details, price/tax history, market reports, saved homes, photo galleries, and run affordability/mortgage math, all via natural language.
⚠️ homes.com does not publish a public consumer API. This server reads the same server-rendered HTML and Schema.org JSON-LD that homes.com itself ships to your browser, routed through your own signed-in browser tab via the ContextMint Bridge browser extension. Every request acts on behalf of your existing session — your cookies, your TLS, your JS context — exactly as if you'd clicked it in the browser yourself. Treat this as informal use of homes.com. Use at your own discretion.
| Tool | Purpose |
|---|---|
homes_search_properties | Search listings by free-text location (city/ZIP/neighborhood). Slugifies the input into homes.com's URL routing (a blank or unsluggable location is an error, not an empty result) and parses the JSON-LD CollectionPage.mainEntity.itemListElement[]. Filters by property_type, listing_type, sort, and a price_min/price_max band. Returns address, price, beds/baths, sqft, primary photo, listing agent + brokerage; flags truncated/total_estimated past the ~40-listing SSR cap. |
homes_get_by_address | Resolve one US street address to its canonical homes.com property URL + opaque hash. Walks structured typeahead → slug → city/zip search-fallback with whole-token street + unit verification. Returns matched_via; degrades to { resolved: false }. |
homes_resolve_addresses | Bulk homes_get_by_address (up to 100 addresses, input order preserved, per-row outcomes). Prefer for batches ≥ 3. |
homes_get_property | Full record for a property by URL. Parses JSON-LD + DOM-side sections: address, lat/lng, beds/baths, sqft, year built, price, status, agent (name/title/profile — telephone/email only with include_agent_contact: true) + brokerage, highlights, schools, HOA (raw + monthly), lot size (sqft + acres), parking, heating/cooling, MLS id/source, tax, days-on-market, price drops, extracted_features. Optional inline price_history/tax_history. |
homes_get_property_photos | Full photo gallery scraped from tags on the detail page (JSON-LD only carries one image). Returns { url, position, alt? } per photo, filtered to the homes.com CDN. |
homes_bulk_get | Fetch up to 200 properties' structured records in one call (per-row errors, input order preserved). |
homes_compare_properties | Side-by-side comparison of 2–8 properties with an aligned summary table. Per-target errors captured per-row. Concurrent fetches. |
homes_get_nearby_listings | The "Homes for Sale Near This Property" cross-link cards from a detail page (For Sale, optionally Rentals). URL + address only. |
homes_get_history | Combined price + tax history in one fetch: listing_events, ownership_events, lien_events, normalized events_normalized, and tax_records. events_normalized sets price_change_pct only on PriceChange rows; other rows carry homes.com's "List to Sale" figure as list_to_sale_pct (no dom / source_mls keys). |
homes_get_property_history | *Deprecated* — price/ownership/lien timelines only. Prefer homes_get_history. |
homes_get_tax_history | *Deprecated* — year-by-year tax records only. Prefer homes_get_history. |
homes_get_market_report | Median / average / $-per-sqft for a market, derived from the sold search page's JSON-LD. A blank or unsluggable location is an error, not an empty market. |
homes_get_saved_homes | The signed-in user's saved (favorited) homes. Auth-gated. |
homes_get_saved_searches | The signed-in user's saved searches. Auth-gated. |
homes_calculate_affordability | Local affordability calculator — max purchase price from income + DTI + rates. No network. |
homes_calculate_mortgage | Local PITI calculator — principal+interest, taxes, insurance, HOA, PMI. No network. |
homes_estimate_rent_vs_buy | Local rent-vs-buy model — you supply monthly_rent (homes.com has no rental signal to impute it; see below). No network. |
homes_healthcheck | Round-trips /robots.txt through the fetchproxy bridge (the shared registerBridgeHealthcheckTool from @chrischall/mcp-utils/fetchproxy) and returns diagnostics: bridge role/port/version, the extension link state (bridge.session_state, pending_pair_code, extension_connected), a classified error.kind (timeout / bridge_down / session_not_ready / protocol / unknown), and a plain-English hint distinguishing "bridge down" from "extension not connected / pair code pending" from "homes.com-side problem." |
homes_get_session_context / homes_register_session / homes_set_active_session | List / register / switch account *labels* for your own bookkeeping. Label only: requests always use whichever account the fetchproxy browser tab is signed into. |
homes.com does NOT publish rental estimates anywhere on its consumer site — there's no rent_zestimate analogue, no "estimated rent" widget on property detail pages, and no comparable-rentals endpoint. The homes_estimate_rent_vs_buy tool exists for the math, but it requires the caller to pass monthly_rent directly (you can't fetch a rent estimate from homes.com to plug in).
For rental signals, use a sibling MCP: `zillow_get_property` carries rent_zestimate on detail records, and `redfin_get_comparable_rentals` returns rental comps by URL. See issue #28 for the feasibility investigation.
By using this MCP server, you acknowledge and agree to the following:
1. This server accesses your own homes.com session. Every request is dispatched through your own browser tab via the ContextMint Bridge extension — your cookies, your TLS, your session. It does not — and cannot — access anyone else's account.
2. [homes.com's Terms of Use](https://www.homes.com/about/terms-of-use) govern your use of this server, just as they govern your direct use of homes.com. The terms prohibit automated crawling without written permission, and IDX listing data is licensed for personal, non-commercial use only. You are agreeing to those terms every time you invoke a tool in this server.
3. Personal, non-commercial use only. This project is not affiliated with, endorsed by, sponsored by, or in partnership with homes.com or CoStar Group. It is a personal automation tool that reads the same server-rendered HTML and Schema.org JSON-LD homes.com ships to your browser. Do not use it to bulk-extract listings, redistribute IDX data, train AI models, populate a competing real-estate product, or for any commercial purpose.
4. Stability is not guaranteed. This server reads Schema.org JSON-LD ( ) and DOM-side tags from SSR pages whose URL conventions (/ - /, /property/ / /) may change without notice. It may break. It may stop working. That's by design — the surface is not theirs to maintain on our behalf.
5. You accept full responsibility for any consequences of using this server in connection with your homes.com access — rate limiting, account suspension, IP blocks, AWS WAF challenges, or any enforcement action homes.com takes. If homes.com objects to your use, stop using this server.
This section is the maintainer's good-faith summary of the terms — it is not legal advice and does not modify or supersede homes.com's actual ToU.
Add to .mcp.json:
{
"mcpServers": { "homes": { "command": "npx", "args": ["-y", "homes-mcp"] } } }
git clone https://github.com/chrischall/homes-mcp
cd homes-mcp npm install npm run build
{
"mcpServers": { "homes": { "command": "node", "args": ["/path/to/homes-mcp/dist/bundle.js"] } } }
homes-mcp talks to your browser through the ContextMint Bridge extension, which is shared across every fetchproxy-based MCP (zillow-mcp, opentable-mcp, resy-mcp, …) and installed separately — it is not bundled here. Get it from the ContextMint Bridge releases:
chrome://extensions → toggle Developer mode → Load unpacked → pick the unzipped folder.Where it comes from. ContextMint Bridge is the fetchproxy browser extension under its new name, from the same maintainer; fetchproxy's own README (Extension) points to it. Its source is public at nullnet-app/contextmint-bridge: build it yourself, or check a release zip against the .sha256 file published beside it (shasum -a 256 -c contextmint-bridge-chrome- .zip.sha256). There is no Chrome Web Store listing yet.
Open homes.com and sign in. That's all the auth this server needs.
┌────────────────┐ stdio ┌──────────────────┐ WS ┌──────────────────┐ fetch() ┌─────────────┐
│ MCP client │◀────────▶│ dist/bundle.js │◀──────▶│ ContextMint │◀────────────▶│ homes.com │ │ (Claude, etc.) │ │ (Homes MCP) │ :37149 │ Bridge │ (real TLS, │ (your tab) │ └────────────────┘ └──────────────────┘ │ (separate) │ cookies) └─────────────┘
The MCP server runs in Node, but every HTTP call to homes.com is dispatched into your live browser tab through the ContextMint Bridge extension. Each request rides your existing session — TLS fingerprint, cookies, and JS execution context all match the page that's already on screen. No headless browser stand-in, no separate identity, no third-party proxy: just your real browser, acting on its own behalf, with the MCP server picking what to ask for.
homes.com's pages are SSR React with no public JSON API — every tool extracts data from the Schema.org JSON-LD block embedded in each page ( ). Search pages put listings in CollectionPage.mainEntity.itemListElement[]; detail pages emit a RealEstateListing graph node with mainEntity (address, size, geo) and offers.offeredBy[] (listing agent). Photos are scraped from the DOM since the JSON-LD only carries one primary image. The client wraps that into the tool surface so callers never have to parse HTML themselves.
npm test # tsc typecheck + vitest, mocked transport, no network
npm run test:watch npm run test:coverage npm run build # tsc --noEmit + esbuild bundle → dist/bundle.js npm run dev # node dist/bundle.js (after build)
MIT