How to Use the Mashvisor Alternative MCP in OpenAI Agents SDK

Q: Can the Mashvisor Alternative in OpenAI Agents SDK buy properties?

No. This MCP server only reads data. It pulls stats via getpropertydetails and getownershipinfo, but it lacks any transactional endpoints.

Build production real estate agents that analyze property data safely with OpenAI Agents SDK.

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Connect Mashvisor Alternative MCP to OpenAI Agents SDK

Create your Vinkius account to connect Mashvisor Alternative to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Mashvisor Alternative with OpenAI Agents SDK

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Automate Market Discovery via MCP Server

You don't want an agent guessing about property values. Point your OpenAI Agents SDK at this MCP Server to feed it hard market data. Give it `list_cities` and `get_city_investment_performance` to identify target areas based on actual yield metrics. The agent can then trigger a handoff to a specialized neighborhood analyzer. That sub-agent runs `get_top_neighborhoods` and pulls `get_neighborhood_overview` to validate local demand before you spend a dime.

Deep Dive Property Analytics

Broad market data only gets you so far. When you zero in on an asset, your agent needs the specifics. It calls `get_full_property_profile` to pull the exact specs and `get_property_comps` to map out nearby sales. Built-in OpenAI guardrails ensure the agent actually checks the comps before recommending a buy. You can even trace the exact sequence of `get_historical_sales` calls in your dashboard to verify the logic.

Calculate Real Rental Yields

Projections are useless without historical context. Your agent uses `get_historical_performance` to grab 36 months of short-term rental data. It then cross-references that with `get_rental_rates` for long-term lease comparisons. The `rento_calculator_lookup` tool handles the heavy lifting for Airbnb metrics. Your deployed system evaluates both strategies and returns the raw numbers, skipping the optimistic estimates entirely.

Setup guide

Set up Mashvisor Alternative 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 Mashvisor Alternative tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Mashvisor Alternative 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="Mashvisor Alternative Agent",
            instructions="You have access to Mashvisor Alternative tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Mashvisor Alternative MCP in OpenAI Agents SDK

Install the openai-agents package via pip. Create an MCPServerStreamableHttp client with your endpoint URL, then pass it in the mcp_servers array when you initialize your Agent. Set cacheToolsList=True to speed up tool discovery.

The SDK handles the HTTP 429 response and can trigger an automatic retry based on your configuration. You should implement custom guardrails to throttle heavy functions like get_full_property_profile during mass searches.

No. This MCP server only reads data. It pulls stats via get_property_details and get_ownership_info, but it lacks any transactional endpoints.

Scraping breaks constantly and violates terms of service. This server provides structured, JSON-formatted data directly to your agents through standard tools like search_properties and get_airbnb_listings.

The server only accesses public property records and market metrics like those in get_ownership_info. Your OpenAI environment processes this data locally, and Vinkius routing ensures no payload logs are retained after the session ends.

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