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AI Real State Agent

Deprecated

Pricing

Pay per event

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AI Real State Agent

AI Real State Agent

Deprecated

Developed by

Max F. Findel

Max F. Findel

Maintained by Community

This AI agent helps users discover their ideal home effortlessly. Simply input preferences like budget, number of bedrooms, bathrooms, pet-friendliness, and the AI does the rest. It analyzes listings, filters properties based on your criteria and delivers tailored recommendations.

0.0 (0)

Pricing

Pay per event

0

Total users

2

Monthly users

2

Runs succeeded

>99%

Last modified

2 months ago

You can access the AI Real State Agent programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

$# Start Server-Sent Events (SSE) session and keep it running
<curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=maxfindel/ai-real-state-agent"
# Session id example output:
# event: endpoint
# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa

Using AI Real State Agent via Model Context Protocol (MCP) server

MCP server lets you use AI Real State Agent within your AI workflows. Send API requests to trigger actions and receive real-time results. Take the received sessionId and use it to communicate with the MCP server. The message starts the AI Real State Agent Actor with the provided input.

$curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
$ "jsonrpc": "2.0",
$ "id": 1,
$ "method": "tools/call",
$ "params": {
$ "arguments": {
$ "instructions": "I want to buy a house with a pool in Miami for less than 1 million dollars. Can you help me?",
$ "model": "gpt-4o-mini"
$},
$ "name": "maxfindel/ai-real-state-agent"
$ }
$}'

The response should be: Accepted. You should received response via SSE (JSON) as:

$event: message
$data: {
$ "result": {
$ "content": [
$ {
$ "type": "text",
$ "text": "ACTOR_RESPONSE"
$ }
$ ]
$ }
$}

Configure local MCP Server via standard input/output for AI Real State Agent

You can connect to the MCP Server using clients like ClaudeDesktop and LibreChat or build your own. The server can run both locally and remotely, giving you full flexibility. Set up the server in the client configuration as follows:

{
"mcpServers": {
"actors-mcp-server": {
"command": "npx",
"args": [
"-y",
"@apify/actors-mcp-server",
"--actors",
"maxfindel/ai-real-state-agent"
],
"env": {
"APIFY_TOKEN": "<YOUR_API_TOKEN>"
}
}
}
}

You can further access the MCP client through the Tester MCP Client, a chat user interface to interact with the server.

To get started, check out the documentation and example clients. If you are interested in learning more about our MCP server, check out our blog post.