How to Use the RentCast MCP in OpenAI Agents SDK

Plug RentCast into your OpenAI Agents SDK production pipeline to automate property valuations and market analysis without the manual grind.

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…and any MCP-compatible client

MCP Servers — Included with Plan

Connect RentCast MCP to OpenAI Agents SDK

Create your Vinkius account to connect RentCast to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Setup RentCast with OpenAI Agents SDK

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Claude

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Instant property valuation for agents

Call `get_rental_valuation` or `get_sale_valuation` directly from your agent flow. Your agent gets the numbers it needs to make decisions without you digging through spreadsheets. This MCP Server handles the data fetch while your agent stays focused on the logic. It's built for production systems where speed and reliability matter more than manual lookup.

Automated market research with OpenAI Agents SDK

Use `list_market_trends` to pull ZIP code data into your agent's reasoning process. It provides the raw inputs for your investment models to run in real-time. Your agent can now compare current positions against `list_active_listings` without leaving the Python execution environment. That’s how you turn raw market data into actual investment signals.

Precise property details on demand

Query `get_property_details` to pull specific records by address. Your agent processes the data and flags anomalies before you even look at the report. This keeps your agent pipeline clean and prevents bad data from hitting your core logic. It's a simple way to verify assets before allocating capital.

Setup guide

Set up RentCast MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all RentCast tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives RentCast tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate RentCast tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="RentCast Agent",
            instructions="You have access to RentCast tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by RentCast. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about RentCast MCP in OpenAI Agents SDK

You initialize the connection using the MCPServerStreamableHttp class. Just point it at your Vinkius endpoint, and the agent auto-discovers the tools. It's a standard setup for production-grade Python agents.

Absolutely. You can write logic that triggers a buy or sell recommendation based on the output of `get_sale_valuation`. Your agent executes based on the data returned by the server.

The data is as accurate as the underlying market inputs. We recommend setting up guardrails in your agent code to validate the output of `get_rental_comparables` before final execution.

The server manages the communication bridge. You need to ensure your API key environment variables are set correctly to avoid hitting your specific plan limits.

Your property addresses and valuation requests are transmitted over a secure, encrypted connection. We don't store your query history, ensuring your private investment research stays private.

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