Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Apartment hunting across 13 US states: rents, briefs, hunt links.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
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Works in Claude on the web, desktop and mobile:
https://mcp.fless.io/mcpRun this in your terminal
claude mcp add --transport http fless https://mcp.fless.io/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"fless": {
"url": "https://mcp.fless.io/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"fless": {
"type": "http",
"url": "https://mcp.fless.io/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
https://mcp.fless.io/mcpMenu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Tool names and descriptions exactly as the server reported them on Nov 7, 2026. The maker wrote them, not us; we show them as plain text.
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.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026
The registry name was verified against the domain fless.io (the registry checks domain ownership)
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Responded in 785 ms (HTTP 200)
No sign-in needed
Read 19 tool descriptions and found no hidden instructions to the AI
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (1.7.0) reached the registry 11 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Spec Driven Development, Remote Desktop Commander, Tethered Trust
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
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Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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