Reel-E
Make and edit real estate listing videos, photos and websites from your AI assistant.
제작자가 쓴 설명(영어 원문)
Verified real-time places and events for AI agents. SF Bay Area live; more metros rolling out.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:
https://api.dayplay.io/mcp터미널에서 이 명령어를 실행하세요
claude mcp add --transport http dayplay https://api.dayplay.io/mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"dayplay": {
"url": "https://api.dayplay.io/mcp"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"dayplay": {
"type": "http",
"url": "https://api.dayplay.io/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:
https://api.dayplay.io/mcp메뉴 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.
서버가 도구 목록을 보여 주기 전에 로그인을 요구해요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 8일 점검
게시자(Teamdayplay)가 저장소 소유자(dayplayTeam)가 아니에요. 다른 사람이 등록했을 수 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
262ms 만에 응답(HTTP 401)
OAuth 로그인을 지원한다고 밝혀서, AI 앱이 로그인 화면으로 안내해 줘요
아직 점검하지 않았어요. 엔드포인트를 점검할 때 도구 목록을 읽어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
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.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
제작자의 클라우드에서 실행돼요. 설치 없이 인터넷으로 연결하지만, 보내는 내용은 제작자의 서버를 거쳐요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(2.2.7)은 8일 전 레지스트리에 올라왔어요.
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.
같은 카테고리에는: Reel-E, Agro API MCP by usefulapi, FieldClimate MCP by usefulapi
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Make and edit real estate listing videos, photos and websites from your AI assistant.
Read satellite, NDVI, weather and soil data; create and delete fields in Agro API.
Read weather station data, sensors, farms, fields and crop zones in FieldClimate.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Dayplay MCP · v2.2.7 · MIT
Dayplay gives AI agents verified real-time physical intelligence — places, events, and walkable itineraries — live across all major US metros, with the SF Bay Area as flagship market.
A zero-configuration MCP server that gives any AI agent a *locally grounded* concierge — live across all major US metros, with the SF Bay Area as flagship market — curated places, verified real-time events, and neighborhood binding that eliminates cross-metro and cross-bay drift (Anti-Drift Guarantee).
🔒 Coverage: verified real-time physical intelligence. Dayplay is live across all major US metros, with the SF Bay Area as flagship market (San Francisco, Oakland, and Berkeley — 35 neighborhood centroids). Live inventory is not uniform across every metro yet, so the rule is simple: call the coverage tools first and trust what they return. If a location comes back as not-yet-live or out of market, the agent must say so plainly — *"Dayplay doesn't have live coverage for \ yet"* — and must not fabricate venues, events, dates, hours, or neighborhoods for it. Zero results for a covered query are reported honestly, never filled with invented places. This per-request check is what keeps the nationwide posture truthful.
Remote endpoint: https://api.dayplay.io/mcp (Streamable HTTP / MCP)
Option A — direct remote server (recommended, no install). Add to ~/.cursor/mcp.json or this repo's .cursor/mcp.json:
{
"mcpServers": { "dayplay": { "url": "https://api.dayplay.io/mcp" } } }
Option B — run from source (local stdio bridge for stdio-only clients):
git clone https://github.com/dayplayTeam/dayplay-mcp.git
cd dayplay-mcp npm install node bin/dayplay-mcp.js
Then point your client at the local stdio process:
{
"mcpServers": { "dayplay": { "command": "node", "args": ["/path/to/dayplay-mcp/bin/dayplay-mcp.js"] } } }
Edit claude_desktop_config.json:
~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.jsonOption A — direct remote server (recommended):
{
"mcpServers": { "dayplay": { "url": "https://api.dayplay.io/mcp" } } }
Option B — run from source (stdio-only clients): follow the run-from-source setup under Cursor, then register the local stdio process:
{
"mcpServers": { "dayplay": { "command": "node", "args": ["/path/to/dayplay-mcp/bin/dayplay-mcp.js"] } } }
Restart Claude Desktop, then ask: *"What's happening in the Mission tonight?"*
Add the Dayplay remote connector:
https://api.dayplay.io/mcp
Prefer the direct remote connector above. For a stdio-only setup, run from source and bridge the local process in Grok's MCP config:
{
"mcpServers": { "dayplay": { "command": "node", "args": ["/path/to/dayplay-mcp/bin/dayplay-mcp.js"] } } }
Pair it with the vibe-scout skill for prompt-level scope enforcement.
node bin/dayplay-mcp.js --smoke
Run it from a run-from-source checkout. Prints the live endpoint and available tool names. Exits non-zero on failure.
The catalog spans all major US metros, with the SF Bay Area as flagship market (San Francisco, Oakland, Berkeley — 35 centroids). Live coverage is verified per request under the Anti-Drift Guarantee: zero fabricated places, events, or hours.
Open tools run immediately — no account needed. Gated tools return 401 on first call. Every connection path — the remote URL and the local stdio bridge — serves this same 40-tool catalog, and a host connected through either path opens Google sign-in for gated tools.
get_happening_today — events + places happening today, by location and radiusget_live_now — what is happening right nowget_weekend — Saturday/Sunday feed (weekend_day: "sat" | "sun")get_decision_feed — ranked decision feed (send user_lat / user_lng)browse_places — places inside a radius, sorted by distanceget_listing — full detail for one place or venue by idget_top_restaurants / get_top_venues — ranked lists, optional cityget_local_gems — curated local gemsget_locals_favorites — locals' favoritesget_venue_events — upcoming events at one venue (id)get_subcategories / get_genres / get_event_bridge — taxonomy feedsget_marketing_events / get_marketing_places / get_marketing_neighborhoods — catalog feeds; forward an X-API-Key header. get_marketing_neighborhoods returns the live-market neighborhood centroids with coordinates and radii (currently the 35 SF Bay Area hubs; new metros appear here as they go live).search_smart, search_query_router, search_embed, search_parse_intent, search_rerank, search_web — model-backed semantic search. Requires the user token via Google connect.save_outing — save a dated, neighborhood-bound outing plan to the signed-in user's Saved tabget_my_itinerary — retrieve the signed-in user's saved itinerarieslist_saves, save_listing, unsave_listing, list_going, mark_going, unmark_going, get_profile — saved places, event RSVPs, and the signed-in profileupvote_listing, share_local_favorite, share_gem — community signalsRequires the free-account connect. A host connected to the remote URL opens Google sign-in on the first gated call; the stdio bridge opened from a run-from-source checkout opens a browser for the same connect step. Saved plans appear on the Dayplay Saved tab across web and app.
Requires the free-account connect (https://www.dayplay.io/link). Saved plans appear on the Dayplay Saved tab across web and app.
Example prompts: *"What's happening in the Mission tonight?"* · *"Build me a Saturday itinerary that never leaves Bernal Heights."* · *"Save this outing to my Dayplay account."*
The original five names are part of the 40-tool catalog: get_neighborhoods, get_events, and get_places are open. plan_outing and manage_saved_plans need Google connect. plan_outing applies a comma-separated interests value as the catalog category filter.
Most local AI answers fail the same way: a "Mission" recommendation lands in Oakland, a "Berkeley" event is actually in San Jose, and a walking itinerary silently requires a bridge crossing.
Scope: live across all major US metros, with the SF Bay Area as flagship market. Live coverage is verified per request under the Anti-Drift Guarantee.
Dayplay receipts:
get_neighborhoods (currently 35 SF Bay Area hubs; the same check applies to each metro as it comes online).neighborhood is an exact-match binding parameter, not a fuzzy keyword hint — results outside the bound radius are dropped, not ranked down.get_events queries verified occurrences by date, so "tonight" means tonight — not an SEO page from last season.That is the product: the answer stays where you are.
| Env var | Default | Purpose |
|---|---|---|
DAYPLAY_MCP_URL | https://api.dayplay.io/mcp | Override the remote endpoint (staging, self-hosted, local dev) |
No API key is required for the public endpoint. Optional auth tokens, if your deployment needs them, are passed through as standard Authorization headers by the MCP client — never commit them to config files.
MCP client (stdio) ⇄ bin/dayplay-mcp.js ⇄ https://api.dayplay.io/mcp (Streamable HTTP)
The shim lists tools and forwards tools/call verbatim to the remote endpoint, so new Dayplay tools appear automatically without waiting on a local update. It is a transport bridge, not a reimplementation — every schema, filter, and verification rule is served by Dayplay itself.
Prefer direct HTTP if your client supports it; use the shim for stdio-only clients.
dayplay-mcp/
├── .cursor/ │ └── mcp.json # Direct Cursor MCP connection ├── .cursor-plugin/ │ └── plugin.json # Cursor Marketplace catalog plugin manifest ├── skills/ │ └── vibe-scout/ │ └── SKILL.md # Grok Bot & Cursor Agent prompt instructions ├── bin/ │ └── dayplay-mcp.js # Run-from-source stdio proxy ├── assets/ │ └── logo.svg ├── test/ │ └── e2e.mjs ├── smithery.yaml # Smithery.ai registry manifest ├── plugin.json # Agent Plugins standard manifest ├── package.json # Node metadata (v2.2.7, MIT) ├── README.md # This file └── LICENSE # MIT (Dayplay Team)
node bin/dayplay-mcp.js --smoke # verify remote endpoint + tool discovery
node bin/dayplay-mcp.js # run the stdio proxy node test/e2e.mjs # end-to-end stdio smoke (tools + 3 tool calls)
Run from a run-from-source checkout (git clone + npm install).
MIT © Dayplay Team — https://www.dayplay.io