CasafariMCP
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Casafari is the AI agent-native real estate data intelligence platform. The most complete property index in Europe: a deduplicated, cleaned property graph of residential and commercial property, for sale and for rent, in 16 countries.The most complete property index in Europe: a deduplicated, cleaned property graph.

How the graph is built

AgentGraph AI · MCP tool

agentgraph_save_to_watchlist

Save to watchlist

Writes dataIdempotent6 parameters

Over REST: no operation in the public API description does this. MCP and REST compared.

Description

Saves agencies or agents (ids from a screen) to your organisation's shared watchlist, each measured in the area you give. AgentGraph AI re-measures the list every day and records changes: priority or profile changes, momentum turning against the area, more price cuts, slower exits, stock falling, an agent listing under a new agency, or no new listings for 60 days. Up to 200 entries.

Parameters

idsstring[]required
Ids from screen_agencies, screen_agents or a profile.
1–50 items
locationstring | integer
A German city, district or state by name ("München", "Hamburg-Altona", "Bayern") or a location id from find_location. A 5-digit value is read as a postcode.
zipcodesstring[]
Limit to these postcodes (with or without a location).
at most 200 itemspattern ^\d{5}$
operationstring
Sales listings (default) or rentals.
sale rent
default "sale"
labelstring
An optional note shown with the entry, e.g. 'Q4 outreach'.
at most 60 characters
client_brandstring
Your own network's name, if you are one. Its offices and agents are not offered as matches from "another network's franchise".

Example call

Required arguments only, with placeholder values. Your assistant fills them in from the parameters above.

JSON-RPC
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "agentgraph_save_to_watchlist",
    "arguments": {
      "ids": [
        "…"
      ]
    }
  }
}

Questions about this

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