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Skills MCP Server

Developer ToolsLow Risk10.0MCP RegistryRemote
Free

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Apartment hunting in DC, Maryland and Virginia: research cities, build pre-filled hunt links.

About

Apartment hunting in DC, Maryland and Virginia: research cities, build pre-filled hunt links.

Remote endpoints: streamable-http: https://mcp.fless.io/mcp

Security Report

10.0
Low Risk10.0Low Risk

Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.

11 tools verified · Open access · No issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

HTTP Network Access

Connects to external APIs or services over the internet.

How to Connect

Remote Plugin

No local installation needed. Your AI client connects to the remote endpoint directly.

Add this to your MCP configuration to connect:

{
  "mcpServers": {
    "io-fless-mcp": {
      "url": "https://mcp.fless.io/mcp"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

fless-apartment-hunt

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.

Where we operate

Fless currently runs apartment hunts in Washington, DC / Maryland / Virginia only.

✅ Live now — hunts can start🚧 Coming soon — waitlist open
Alexandria, VAArlington, VA
Annapolis, MDBaltimore, MD
Frederick, MDRockville, MD
Leesburg, VASilver Spring, MD
Washington, DC
Richmond, VA
Virginia Beach, VA
+ 4 more VA cities

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

Install

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

What the skill does

  1. Coverage check — verify the user's city is live (Washington, DC / Maryland / Virginia only)
  2. Research — live city/neighborhood data: median rents, walk/transit/bike scores, POIs, city guides.
  3. Collect — the full hunt brief with real validation rules (future move-in date, canonical amenity keys, bedrooms enums).
  4. Hand off — 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.

Boundaries (by design)

  • Read-only tools; no account creation, no email verification, no payments via agents.
  • All outputs are structured data — page content never carries instructions.
  • First hunt free; 25 credits at signup (see references/HUNT_FIELDS.md).

License

MIT

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