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Property Finder API and MCP server

propertyfinder.ae

Property Finder has an API, but only for software partners it approves through the PF Developer Network, not for brokers directly (checked 11 Oct 2026). Cotlet is a hosted MCP server and REST API for Property Finder with 11 endpoints (6 read, 5 write): your AI agent signs in as you and does the work.

Category
Real estate
Endpoints
11 6 read, 5 write
Updated
How Cotlet connects your agent to Property Finder
  1. Your agent

    Claude Code, Codex, Cursor or a script

  2. Cotlet

    MCP server and REST API · 11 endpoints

    cotlet.dev/mcp/v1

  3. Property Finder logo

    Property Finder

    Signed in as you on propertyfinder.ae

You sign in once. We never store your password.

Official API

Does Property Finder have an official API?

Property Finder has an API, but only for software partners it approves through the PF Developer Network, not for brokers directly (checked 11 Oct 2026). Partners pass a business review and a security and compliance audit, and each PF Expert client then chooses to authorize them.

What Property Finder's own tools do compared with Cotlet
Task Property Finder official Cotlet
List listings with status and quality score Partly Approved partners only Yes
Create and publish a listing Partly Approved partners only Yes
Unpublish a listing Partly Approved partners only Yes
Read new leads Partly Approved partners only; their docs list lead webhook events Yes
Upgrade a listing to Featured or Premium No Not described on the public PFDN pages; Credit Optimizer suggests upgrades inside PF Expert Yes
Credit balance No Not described on the public PFDN pages Yes
Do any of this from your own script or agent No Yes

Sources: PF Developer Network: integration guide · PF Developer Network · Property Finder Enterprise API reference (password protected) · Property Finder Help: What is Spotlight? · Property Finder Partner Hub: Credit Optimizer · Property Finder Partner Hub: Exposure Products

Common use cases

What can an AI agent do in Property Finder?

Cotlet is best for brokerages and agents on Property Finder who want listings published, leads read and credits spent from their own agent or script without running or fixing a server.

  • Weekly listing performance report Runs: Weekly

    Every Monday, list my live rentals with the most views and no leads since last Monday, grouped by agent, and tell me which upgrades expire this week. Your agent calls list_listings and get_listing_stats.

  • Bulk upload listings from a spreadsheet

    Create a draft for each row in units.csv, assign it to the agent in the last column, and publish the rows marked ready as standard listings. Your agent calls list_agents, create_listing and publish_listing.

  • Daily new leads digest Runs: Daily

    Every morning at 8, send me yesterday's Property Finder leads grouped by agent, with the listing each lead asked about. Your agent calls list_agents and list_leads.

  • Fix low quality score listings

    Find my live listings with a quality score under 85, tell me what each one is missing, and fix the descriptions; unpublish the ones I mark as gone. Your agent calls list_listings, get_listing, update_listing and unpublish_listing.

  • Upgrade best listings to Featured Runs: Weekly

    Make my three best-performing rentals Featured for 15 days if I have the credits. Your agent calls get_credits, list_listings, get_listing_stats and upgrade_listing.

Endpoints

What is the Property Finder API?

Cotlet's Property Finder API exposes 11 endpoints for your own Property Finder account: list listings, get listing, get listing stats, list leads, list agents, get credits, create listing, update listing, publish listing, unpublish listing and upgrade listing. The list_listings endpoint returns listings in your agency with status, agent, price, quality score and active upgrade. Each endpoint takes simple JSON inputs like listing_id, agent_id or purpose and works both as an MCP tool for agents and as a REST call for scripts.

All endpoints · 11 total

missing one? request an endpoint

  • POST

    list_listings

    read

    Returns listings of your agency, newest first. Quality score is the percentage PF Expert shows for a published listing. Pages hold up to 100 listings; pass next_cursor back as cursor for the next page.

    POST /api/v1/property-finder/list_listings

    Input

    Input: list_listings
    Parameter Type Description
    status enum live, draft or unpublished. Default: live.
    agent_id string Only listings assigned to this agent, from list_agents.
    purpose enum sale or rent.
    max_quality_score integer Only listings at or under this quality score, 0 to 100.
    limit integer 1 to 100. Default: 50.
    cursor string Next page cursor from the previous call.

    Example response

    {
      "listings": [
        {
          "listing_id": "01JA7K3M9Q",
          "title": "Furnished 2BR with marina view",
          "purpose": "rent",
          "status": "live",
          "agent_id": "ag_3d91",
          "price": 145000,
          "quality_score": 88,
          "upgrade": "featured"
        },
        {
          "listing_id": "01JA8B2N4R",
          "title": "Studio near the metro",
          "purpose": "rent",
          "status": "live",
          "agent_id": "ag_77c2",
          "price": 62000,
          "quality_score": 64,
          "upgrade": null
        }
      ],
      "next_cursor": null
    }
  • POST

    get_listing

    read

    Returns everything PF Expert holds for one listing, including the permit number if you entered one. Use it to see why a quality score is low before you change anything. A draft has no quality score yet.

    POST /api/v1/property-finder/get_listing

    Input

    Input: get_listing
    Parameter Type Description
    listing_id required string Listing ID from list_listings.

    Example response

    {
      "listing_id": "01JA8B2N4R",
      "title": "Studio near the metro",
      "purpose": "rent",
      "status": "live",
      "property_type": "Apartment",
      "location": "Business Bay",
      "price": 62000,
      "bedrooms": 0,
      "size_sqft": 410,
      "description": "Bright studio, close to the metro.",
      "image_urls": [
        "https://example.com/photos/studio-1.jpg"
      ],
      "permit_number": null,
      "agent_id": "ag_77c2",
      "quality_score": 64
    }
  • POST

    get_listing_stats

    read

    Returns the performance numbers PF Expert shows for one listing, from the start date to now. Call it once per listing, so keep the set small and filter with list_listings first. A listing that went live after the start date counts from its publish date.

    POST /api/v1/property-finder/get_listing_stats

    Input

    Input: get_listing_stats
    Parameter Type Description
    listing_id required string Listing ID from list_listings.
    since date Count from this date. Default: 30 days ago.

    Example response

    {
      "listing_id": "01JA7K3M9Q",
      "since": "2026-09-11",
      "views": 1840,
      "leads": 0
    }
  • POST

    list_leads

    read

    Returns leads that came in through your listings, newest first. Each lead names the listing and the agent it belongs to. Pages hold up to 100 leads; pass next_cursor back as cursor for the next page.

    POST /api/v1/property-finder/list_leads

    Input

    Input: list_leads
    Parameter Type Description
    since datetime Only leads received after this time.
    listing_id string Only leads for this listing.
    agent_id string Only leads for this agent.
    limit integer 1 to 100. Default: 50.
    cursor string Next page cursor from the previous call.

    Example response

    {
      "leads": [
        {
          "lead_id": "ld_90f1",
          "name": "Jamie Hart",
          "phone": "+971500000000",
          "listing_id": "01JA7K3M9Q",
          "agent_id": "ag_3d91",
          "received_at": "2026-10-10T16:42:00+04:00"
        }
      ],
      "next_cursor": null
    }
  • POST

    list_agents

    read

    Returns the agents of your agency. Use agent_id from here to assign a listing or to filter listings and leads. You see the agents your own role can see in PF Expert.

    POST /api/v1/property-finder/list_agents

    Input

    No parameters.

    Example response

    {
      "agents": [
        {
          "agent_id": "ag_3d91",
          "name": "Sara Khan",
          "listings": 24
        },
        {
          "agent_id": "ag_77c2",
          "name": "Omar Haddad",
          "listings": 11
        }
      ]
    }
  • POST

    get_credits

    read

    Returns the credits available for upgrades. Check it before upgrade_listing so the agent does not plan a spend you cannot cover. It reads the balance only and spends nothing.

    POST /api/v1/property-finder/get_credits

    Input

    No parameters.

    Example response

    {
      "credits": 2500
    }
  • POST

    create_listing

    write

    Saves a draft in PF Expert and returns its listing_id. The draft is visible only to you and your agency. It reaches no one and you can delete it in PF Expert, so it does not ask for confirmation. Run publish_listing to put it live.

    POST /api/v1/property-finder/create_listing

    Input

    Input: create_listing
    Parameter Type Description
    title required string Listing title.
    purpose required enum sale or rent.
    property_type required string As in PF Expert, e.g. Apartment or Villa.
    location required string Community or building, matched to the Property Finder location list.
    price required integer Price as you enter it in PF Expert.
    bedrooms integer Number of bedrooms, 0 for a studio.
    bathrooms integer Number of bathrooms.
    size_sqft integer Built-up area in square feet.
    description string Listing description.
    image_urls string[] Image URLs, first one is the cover.
    permit_number string Permit number, where PF Expert asks for one.
    agent_id string Assigned agent, from list_agents.

    Example response

    {
      "listing_id": "01JA9C5P7T",
      "status": "draft",
      "agent_id": "ag_3d91"
    }
  • POST

    update_listing

    write

    Applies the fields you pass and leaves the rest as they are. Changes to a live listing are visible to buyers and renters, and PF Expert may recalculate the quality score. Returns the updated fields. By default you confirm each call; you can switch that off for this tool.

    POST /api/v1/property-finder/update_listing

    Input

    Input: update_listing
    Parameter Type Description
    listing_id required string Listing ID from list_listings.
    fields required object Any of the create_listing fields.

    Example response

    {
      "listing_id": "01JA8B2N4R",
      "updated": [
        "description",
        "image_urls"
      ],
      "quality_score": 72
    }
  • POST

    publish_listing

    write

    Publishes the listing with the listing type you choose on the Publish screen of PF Expert: standard, featured or premium. Featured and premium run for 15 days or 1 month; the options your market shows may differ. It returns the live status and the portal URL. By default you confirm each call; you can switch that off for this tool.

    POST /api/v1/property-finder/publish_listing

    Input

    Input: publish_listing
    Parameter Type Description
    listing_id required string Listing ID from list_listings.
    listing_type required enum standard, featured or premium.
    duration enum 15_days or 1_month for featured and premium. Standard runs 1 month.

    Example response

    {
      "listing_id": "01JA7K3M9Q",
      "status": "live",
      "listing_type": "standard",
      "url": "https://www.propertyfinder.ae/en/plp/rent/apartment-for-rent-dubai-dubai-marina-01JA7K3M9Q.html"
    }
  • POST

    unpublish_listing

    write

    Removes the listing from Property Finder search and keeps it in PF Expert with status unpublished, so you can publish it again later. Leads already received stay in your leads. By default you confirm each call; you can switch that off for this tool.

    POST /api/v1/property-finder/unpublish_listing

    Input

    Input: unpublish_listing
    Parameter Type Description
    listing_id required string Listing ID from list_listings.

    Example response

    {
      "listing_id": "01JA8B2N4R",
      "status": "unpublished"
    }
  • POST

    upgrade_listing

    write

    Upgrades a live listing to featured or premium for 15 days or 1 month and pays with credits. It returns the expiry date and the credits left. Spotlight is a bidding product and is not covered by this tool. By default you confirm each call; you can switch that off for this tool.

    POST /api/v1/property-finder/upgrade_listing

    Input

    Input: upgrade_listing
    Parameter Type Description
    listing_id required string Listing ID from list_listings.
    listing_type required enum featured or premium.
    duration required enum 15_days or 1_month.

    Example response

    {
      "listing_id": "01JA7K3M9Q",
      "status": "live",
      "listing_type": "featured",
      "expires_at": "2026-10-26T12:00:00+04:00",
      "credits_left": 2380
    }

Setup

How do I connect Property Finder to Claude Code, Codex or Cursor?

Connecting Property Finder takes three steps: request access, sign in to Property Finder once, then add one MCP server or call the REST API with the same key.

Connect Property Finder over MCP

  1. 1

    Create an account

    Sign up and add Property Finder in the console. Your API key is there too.

  2. 2

    Sign in to Property Finder once

    Open the connect page from the console and sign in to Property Finder the way you always do. We keep the session, never your password, and you can revoke it anytime.

  3. 3

    Add Cotlet to your agent

    Claude Code
    claude mcp add --transport http cotlet \
      https://cotlet.dev/mcp/v1 \
      --header "Authorization: Bearer $COTLET_API_KEY"
    Cursor
    {
      "mcpServers": {
        "cotlet": {
          "url": "https://cotlet.dev/mcp/v1",
          "headers": {
            "Authorization": "Bearer ${COTLET_API_KEY}"
          }
        }
      }
    }
    Codex
    # ~/.codex/config.toml
    [mcp_servers.cotlet]
    url = "https://cotlet.dev/mcp/v1"
    bearer_token_env_var = "COTLET_API_KEY"

    Paste the snippet for your client. The same server and key serve every app you connect, so you do this once.

  4. 4

    Ask your agent

    Prompt

    Every Monday, list my live rentals with the most views and no leads since last Monday, grouped by agent, and tell me which upgrades expire this week.

    Ask in plain words. Your agent finds the Property Finder tools on the server and calls them for you; anything that reaches other people waits for your OK unless you switch that off for a tool.

Call Property Finder over REST

  1. 1

    Export your API key

    Shell

    export COTLET_API_KEY="cotlet_..."

    Your scripts use the same API key as your agent. Keep it in an environment variable, never in your code.

  2. 2

    Call a tool

    curl

    curl https://cotlet.dev/api/v1/property-finder/upgrade_listing \
      -H "Authorization: Bearer $COTLET_API_KEY" \
      -H "Content-Type: application/json" \
      -d '{"listing_id":"01JA7K3M9Q","listing_type":"featured","duration":"15_days"}'

    Every tool is a POST endpoint at /api/v1/property-finder/{tool}. Send its parameters as JSON, exactly as listed in the endpoints above.

  3. 3

    Read the result

    Example response · upgrade_listing

    {
      "listing_id": "01JA7K3M9Q",
      "status": "live",
      "listing_type": "featured",
      "expires_at": "2026-10-26T12:00:00+04:00",
      "credits_left": 2380
    }

    You get plain JSON back, ready for your script. A failed call costs nothing.

Why Cotlet

Why use Cotlet for Property Finder? Hosted, safe and kept working.

  • Built for agents

    • One MCP server for every app you connect.
    • The same tools as a REST API for scripts and cron jobs.
    • Works with Claude Code, Codex and Cursor.
  • Your login stays yours

    • You sign in to Property Finder yourself. We keep only the session, encrypted with AES-256.
    • The model never sees a login.
    • No stored passwords, no CAPTCHA solving, no MFA bypass.
  • You stay in control

    • Pick read only, or read and write.
    • Anything that reaches other people waits for your OK, unless you switch it off per tool.
    • Revoke access in one click.
  • Kept working for you

    • We test every integration daily.
    • When Property Finder changes, the tool pauses until we fix it.
    • Failed calls cost nothing.

Alternatives

Is there a Property Finder MCP server on GitHub?

Brokers reach PF Expert from code through a partner CRM that PFDN has approved. Hosted scrapers only read public listings. For your own agent or script there is no direct route.

Cotlet compared with a Partner CRM
Partner CRM Cotlet
Setup Move to an approved CRM, ask Property Finder to authorize it for your agency, map your listings Request access, sign in to PF Expert once in your browser
Where it runs Inside the CRM screens Hosted: Claude Code, Codex, Cursor, n8n and scripts, also on a schedule
Write actions Whatever the CRM vendor built for you Publish, unpublish, upgrade and edit from a prompt or a script, each confirmed by you by default
When the session expires The CRM keeps its own authorization If PF Expert logs you out, your agent gets a link to sign in again
When Property Finder changes The CRM vendor adapts Our team tests it daily and fixes it; failed calls are free
Upkeep You depend on the vendor roadmap Nothing to host or update
Price CRM subscription, set by the vendor Free 7-day trial with 5,000 credits, then credits per call

Which one fits you

Pick Cotlet if

  • you are not a developer, or you do not want to maintain a server
  • you need it to keep working when Property Finder changes, without checking it yourself
  • your agent or a script should run it on a schedule, also while your computer is off

Pick an open-source server if

  • you are comfortable installing, updating and fixing it yourself
  • you want the session to stay on your own computer
  • you only need it now and then, from one MCP client

For AI agents

Cotlet for Property Finder in plain text The facts on this page in one block: status, endpoints, access, pricing, contact.

Endpoint health

verified 2h ago

  • list_listings passing
  • get_listing passing
  • get_listing_stats passing
  • list_leads passing
  • list_agents passing

+ 6 more endpoints

11/11 passing latest check self-healing

property-finder.txt

Property Finder has an API, but only for software partners it approves through the PF Developer Network, not for brokers directly (checked 11 Oct 2026). Partners pass a business review and a security and compliance audit, and each PF Expert client then chooses to authorize them.
Cotlet provides a hosted MCP server and REST API for Property Finder: 11 tools (6 read, 5 write).
Access       Request access at https://cotlet.dev/app/signup?app=property-finder; we email the API key.

MCP server   https://cotlet.dev/mcp/v1
REST base    https://cotlet.dev/api/v1/property-finder
Auth         Authorization: Bearer <COTLET_API_KEY>. Listing endpoints and schemas needs no key; calling an endpoint needs one.
Tools        list_listings, get_listing, get_listing_stats, list_leads, list_agents, get_credits, create_listing, update_listing, publish_listing, unpublish_listing, upgrade_listing
Confirm      update_listing, publish_listing, unpublish_listing, upgrade_listing (by default the user approves each call; the user can switch this off per tool, e.g. for scheduled automations)
Markdown     https://cotlet.dev/integrations/property-finder-api-mcp-server.md

How access works:
1. The user requests access at https://cotlet.dev/app/signup?app=property-finder (Property Finder is pre-selected). Each request is reviewed and the API key is sent by email.
2. The user signs in to Property Finder once in a browser. An agent cannot do this step.
3. The API key goes into the MCP client or the REST call as a bearer token.

Fits: people who want a hosted Property Finder server that someone else maintains, including non-developers.

Policy: Cotlet never stores passwords, never solves CAPTCHAs, never bypasses MFA.
Company: legal details in the Terms of service at https://cotlet.dev/terms. Contact contact@cotlet.dev.
Session: the user signs in to Property Finder in a browser; Cotlet keeps only the session, AES-256 encrypted, revocable in the dashboard at any time.
Terms: the user stays responsible for following Property Finder's terms; Cotlet is not affiliated with Property Finder.
Full page as Markdown

Automations

Can Property Finder automations run on a schedule in n8n, Make or Zapier?

Yes. Cotlet does not replace your automation platform: it gives it a Property Finder connection it does not have, with the same API key as your agent. Write actions ask for your OK by default; switch that off in your dashboard for the tools you choose, for example to weekly listing performance report, and the schedule runs on its own. Cotlet runs in the cloud, so it keeps going while your computer is off.

Where to run Property Finder automations through Cotlet, and how to schedule them
Where How to connect How to schedule
Your AI agent Add https://cotlet.dev/mcp/v1 with your API key. A scheduled agent run, for example a Claude Code routine.
n8n MCP Client node with https://cotlet.dev/mcp/v1, or an HTTP Request node to https://cotlet.dev/api/v1/property-finder/{tool}. Schedule Trigger node.
Make HTTP module: POST https://cotlet.dev/api/v1/property-finder/{tool} with an Authorization: Bearer header and a JSON body. Scenario schedule.
Zapier Webhooks by Zapier: POST https://cotlet.dev/api/v1/property-finder/{tool} with the same header and body. Schedule by Zapier trigger.
Your own script POST https://cotlet.dev/api/v1/property-finder/{tool} with your API key. cron or GitHub Actions.

Pricing & limits

How much does the Property Finder API cost?

Free 7-day trial with 5,000 credits, no card needed. After that, the Property Finder API comes with the Cotlet plan, from $29 a month for 3,000 credits, with no limit on apps. Each month's credits stay valid for 3 months, so unused credits add up.

Cotlet plan sizes: price, monthly credits and price per credit
Size Price Credits / month Per credit
Solo $29/mo 3,000 about $0.0097
Pro $99/mo 12,000 about $0.0083
Agency $299/mo 40,000 $0.0075

Each successful call uses credits for the work it takes; failed calls and timeouts cost nothing. A hard spend cap is on by default. Authenticate with the Authorization: Bearer header.

About Cotlet

How Cotlet holds your access

Cotlet hosts MCP servers and REST APIs for apps with no usable API. Your agent works in your own Property Finder account.

Company details
The legal name, address and registration numbers of the company behind Cotlet are in the Terms of service. Terms
Your session
You sign in to Property Finder yourself, in your browser. We keep only the session, never your password: encrypted with AES-256 in an EU vault, isolated to your account and used only when your agent calls a Property Finder tool you allowed. When it expires, your agent gives you a link to sign in again. Security
Revoking access
Disconnect Property Finder in your dashboard: the session is deleted and access ends at once. Actions that reach other people wait for your OK unless you switch that off per tool.
What we never do
Store passwords, solve CAPTCHAs or bypass MFA.
Property Finder's terms
You use your own Property Finder account and stay responsible for following Property Finder's terms. Cotlet is independent and not affiliated with Property Finder. Terms
Contact
Questions about the company, security or an app: contact@cotlet.dev
About Cotlet

Frequently asked questions

How do I get access?

Request access and pick Property Finder. Cotlet reviews each request and emails you your API key.

Do I need to be technical?

No. You sign in to Property Finder once in your browser and paste one command into your agent, or one URL into n8n. Your agent can walk you through it. There is no server to install, update or fix.

Is a hosted server safe? My Property Finder session would leave my computer.

Cotlet keeps your Property Finder session encrypted with AES-256 in an EU vault, isolated to your account and used only for the tools you allow: read only, or read and write. The AI model never sees it, and you revoke it in one click. A local server keeps the same session in a file on your computer, readable by any program you run, and needs a fresh sign-in whenever it expires.

Do I need to be a PF Developer Network partner to use Cotlet?

No. PFDN is a program for software vendors who build integrations for many clients. Cotlet signs in to your own PF Expert account, the way you do, and you can revoke it at any time (checked 11 Oct 2026).

Can it bid for Spotlight?

Not in these tools. Property Finder describes Spotlight as a bid for the top three search positions for one week. A listing must be published less than 60 days ago, have a quality score of at least 90%, be Premium and have enough credits (Property Finder Help, checked 11 Oct 2026).

Can my agent post or send messages in Property Finder without asking me?

No. Every call to update_listing, publish_listing, unpublish_listing or upgrade_listing waits for your OK by default. For scheduled automations you can switch confirmation off per tool in your dashboard, for example only for approvals. create_listing runs without asking, because it sends nothing to anyone and one call undoes it.

Can I use the Property Finder API in n8n?

Yes. Add https://cotlet.dev/mcp/v1 with your API key in n8n's MCP Client node, or call https://cotlet.dev/api/v1/property-finder/{tool} from the HTTP Request node.

Give your agent access to Property Finder.

Request access and pick it. We review each request and email you your API key. Free 7-day trial with 5,000 credits, no card needed.