Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Apartment hunting across 13 US states: rents, briefs, hunt links.
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://mcp.fless.io/mcp터미널에서 이 명령어를 실행하세요
claude mcp add --transport http fless https://mcp.fless.io/mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"fless": {
"url": "https://mcp.fless.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": {
"fless": {
"type": "http",
"url": "https://mcp.fless.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://mcp.fless.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.
도구 이름과 설명은 서버가 2026년 11월 7일에 알려 준 그대로예요. 우리가 아니라 제작자가 쓴 글이고, 일반 텍스트로만 보여 드려요.
search_citiesList cities where Fless operates (live + coming soon). Returns ids needed for hunts.
get_city_overviewNeighborhood-level overview of a live city: median rents (1BR/2BR), walk/transit/bike scores per neighborhood.
get_neighborhoodFull detail for one neighborhood: rents, scores, POI counts, descriptions, nearby neighborhoods.
get_hunt_requirementsEvery hunt field, enum, and rule; canonical amenity keys; binary restrictions (55+, pets, smoking); transparent credit pricing. Read this before collecting a hunt brief.
build_hunt_linkValidate a hunt brief and get a URL that pre-fills the full hunt form for the human. Works with partial briefs (missing_fields lists what to collect).
check_hunt_linkAggregate status of a hunt link (created/opened/started) — no personal data.
request_cityRequest that Fless expand to a new city. Use when the user's target city is not currently served (check live coverage first with search_cities). Returns the total request count for that city. No account or email needed.
get_city_request_statsSee which cities have been requested most. Useful for telling users whether their city has demand.
searchSearch Fless content (cities, neighborhoods, hunt guide). Returns citable ids for fetch.
fetchFetch full content by id from search: markdown text + canonical url for citations.
submit_error_reportReport a problem with Fless tools or data so we can fix it. Include: the tool you called, the error code from the error contract if present, what happened vs what you expected. Do NOT include personal data.
realtor_list_clientsRealtor tool: requires Authorization: Bearer with an API key (create one at fless.io/realtor under API keys); anonymous calls return the structured UNAUTHORIZED error. Accepted clients (id, name, email) + pending invitations (email, expires).
realtor_create_clientRealtor tool: requires Authorization: Bearer with an API key (create one at fless.io/realtor under API keys); anonymous calls return the structured UNAUTHORIZED error. Invite a client by email; the invitation email carries a 7-day accept link. Gated on an active subscription/tria
realtor_create_huntRealtor tool: requires Authorization: Bearer with an API key (create one at fless.io/realtor under API keys); anonymous calls return the structured UNAUTHORIZED error. Create a hunt FOR one of your clients (fields mirror get_hunt_requirements). Returns hunt_id + matched_count; th
realtor_list_candidate_buildingsRealtor tool: requires Authorization: Bearer with an API key (create one at fless.io/realtor under API keys); anonymous calls return the structured UNAUTHORIZED error. The matched candidate list for one of your hunts (counts + buildings with eligibility, distance, and your curati
realtor_curate_huntRealtor tool: requires Authorization: Bearer with an API key (create one at fless.io/realtor under API keys); anonymous calls return the structured UNAUTHORIZED error. Curate the candidate list WITHOUT sending: removals [{id, reason?}] and notes [{id, internal_notes?, client_note
realtor_add_building_to_huntRealtor tool: requires Authorization: Bearer with an API key (create one at fless.io/realtor under API keys); anonymous calls return the structured UNAUTHORIZED error. Search your hunt's building inventory by name and manually add the one unambiguous match into the hunt (several
realtor_send_to_clientRealtor tool: requires Authorization: Bearer with an API key (create one at fless.io/realtor under API keys); anonymous calls return the structured UNAUTHORIZED error. Send the curated list to the client: every non-removed building becomes included and the hunt moves to awaiting_
realtor_get_hunt_statusRealtor tool: requires Authorization: Bearer with an API key (create one at fless.io/realtor under API keys); anonymous calls return the structured UNAUTHORIZED error. Status of one of your hunts: review_state, counts, and the client's name.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 8일 점검
레지스트리 이름이 도메인 fless.io 기준으로 확인되었어요(레지스트리가 도메인 소유를 확인해요)
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
785ms 만에 응답(HTTP 200)
로그인 필요 없음
도구 설명 19개를 읽었고, AI에게 보내는 숨겨진 지시는 없었어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 3개 중 3개를 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(1.7.0)은 11일 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: Spec Driven Development, Remote Desktop Commander, Tethered Trust
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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.
Fit, compatibility and recall checks for AI agents before they buy: verdicts, evidence, receipts.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
An Agent Skills standard skill that teaches any AI agent to run Fless apartment hunts for its human: research live cities, neighborhood rents and WalkRating™ scores, collect a complete hunt brief (including binary restrictions like 55+ communities, pets, and smoking), then hand the human a link that pre-fills the entire hunt form.
Fless currently runs apartment hunts in California / District of Columbia / Florida / Georgia / Massachusetts / Maryland / North Carolina / Nevada / New York / Pennsylvania / South Carolina / Tennessee / Virginia. The authoritative live list is fless-apartment-hunt/references/CITIES.md, auto-generated from the production API.
| ✅ Live now | 🚧 Coming soon |
|---|---|
| Alexandria, VA | Rockville, MD |
| Annapolis, MD | Silver Spring, MD |
| Arlington, VA | Virginia Beach, VA |
| Ashburn, VA | |
| Atlanta, GA | |
| Baltimore, MD | |
| Bethesda, MD | |
| Boston, MA | |
| Brandon, FL | |
| Burlington, NC | |
| Charlotte, NC | |
| Charlottesville, VA | |
| Chesapeake, VA | |
| Columbus, GA | |
| Daytona Beach, FL | |
| Fort Lauderdale, FL | |
| Frederick, MD | |
| Gastonia, NC | |
| Hampton, VA | |
| Hillsborough, NC | |
| Jacksonville, FL | |
| Kennett Square, PA | |
| Kernersville, NC | |
| Key Biscayne, FL | |
| Kissimmee, FL | |
| Lake Panasoffkee, FL | |
| Leesburg, VA | |
| Manhattan, NY | |
| Memphis, TN | |
| Miami, FL | |
| Miami Beach, FL | |
| Middle River, MD | |
| Midlothian, VA | |
| Naples, FL | |
| Nashville, TN | |
| North Port, FL | |
| Orlando, FL | |
| Parkville, MD | |
| Philadelphia, PA | |
| Pittsburgh, PA | |
| Prince Frederick, MD | |
| Raleigh, NC | |
| Reno, NV | |
| Richmond, VA | |
| Rock Hill, SC | |
| San Diego, CA | |
| Sanford, FL | |
| Severn, MD | |
| Signal Mountain, TN | |
| Sterling, VA | |
| Tampa, FL | |
| Towson, MD | |
| Vero Beach, FL | |
| Warsaw, VA | |
| Washington, DC | |
| Woodbridge, VA |
Your city not listed? We're expanding. Check back, or join the waitlist at fless.io/city/{your-city}. Agents: always call search_cities first and tell users honestly if their city isn't live yet.
fless-apartment-hunt/
├── SKILL.md # when to use + the 4-step workflow └── references/ ├── HUNT_FIELDS.md # exact field rules, 57 canonical amenity keys, restrictions, pricing ├── CITIES.md # live + coming-soon cities (auto-generated from production API) ├── API.md # MCP tools + REST endpoints └── ERRORS.md # error catalog + recovery
Any MCP-capable agent (tools used directly):
MCP server: https://mcp.fless.io/mcp (no auth, read-only tools)
Agent Skills runtimes: clone https://github.com/fless-io/skills and copy this folder into your skills directory (e.g. ~/.agents/skills/, ~/.vibe/skills/, .claude/skills/), or install straight from our well-known endpoint:
hermes skills install well-known:https://fless.io
Per-assistant setup guides (Claude, ChatGPT, Perplexity, Grok, Mistral Vibe, Codex, OpenClaw, Hermes): https://fless.io/ai-agents
search_cities)build_hunt_link returns a URL that pre-fills https://fless.io/create-hunt for the human to review and confirm.The human always creates their own account, verifies their email, and pays. Agents never see credentials or payment.
MIT