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_agent_profile

Agent in full

Read-only7 parameters

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

Description

One agent's own figures, quarter by quarter, their agency, career across agencies (where Casafari's directory has it), contacts, and every partner profile they match, benchmarked against their main city (or the area you give). Pass an id from screen_agents, or a name with their agency.

Parameters

idstring
The id a screen returned (a:... or p:...).
namestring
The agent's name when no id is known.
companystring
Their agency, to tell two people of the same name apart.
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"
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_agent_profile",
    "arguments": {
      "id": "…"
    }
  }
}

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