How to Use the Mashvisor Alternative MCP in CrewAI

Deploy a crew of specialized real estate agents to analyze markets and find deals using CrewAI.

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Connect Mashvisor Alternative MCP to CrewAI

Create your Vinkius account to connect Mashvisor Alternative to CrewAI 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 CrewAI

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Run autonomous property scouting teams in CrewAI

Run autonomous property scouting teams in CrewAI using `search_properties` and `rento_calculator_lookup`. Single-agent setups struggle with complex real estate tasks because they try to do too much at once. CrewAI solves this by letting you deploy a team of specialized agents that collaborate. When running this MCP Server with CrewAI, the agents pass data between each other using shared memory. The researcher calls `search_properties` to build a list, then hands those leads to the analyst who runs `rento_calculator_lookup` to check the cash flow. You get a fully automated pipeline without human intervention.

Coordinate market research and comp analysis

Coordinate market research across multiple zip codes using `get_city_investment_performance` and `get_property_comps`. Finding profitable markets requires looking at data from multiple angles. This MCP Server gives your crew the exact tools they need to evaluate entire cities and zoom down to individual streets. Your agents work in parallel, sharing context to avoid redundant API calls. One agent can run `get_city_investment_performance` to evaluate macro trends, while a second agent calls `get_property_comps` to map out local sales. They combine their findings to deliver a single, detailed market report.

Monitor real estate markets autonomously

Monitor real estate markets autonomously by pointing your agents to `get_marketplace_listings`. Markets change fast, and manual checking is a waste of your time. You can set up a crew to run on a schedule, monitoring specific neighborhoods for new listings and price drops. The crew alerts you only when a property meets your exact investment criteria. The monitoring agent uses `get_marketplace_listings` to watch the market, while a supervisor agent uses `get_historical_performance` to verify if the rental history justifies the asking price. It is like having an acquisition team working 24/7.

Setup guide

Set up Mashvisor Alternative MCP in CrewAI

Prerequisites

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

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Mashvisor Alternative tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Mashvisor Alternative Analyst",
    goal="Access and analyze Mashvisor Alternative data via MCP.",
    backstory="Expert analyst with direct Mashvisor Alternative access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Mashvisor Alternative transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Mashvisor Alternative Analyst",
        goal="Access and analyze Mashvisor Alternative data via MCP.",
        backstory="Expert analyst with direct Mashvisor Alternative access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Mashvisor Alternative transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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 Mashvisor. 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 Mashvisor Alternative MCP in CrewAI

You pass our secure MCP Server URL directly into the agent's `mcps` parameter during initialization. You can restrict tools so your Researcher Agent only has access to `search_properties`, while your Analyst Agent gets `get_rental_rates`.

Yes. You can define a hierarchical workflow where a manager agent coordinates the process. The manager assigns `list_cities` to one agent, waits for the output, and then tasks another agent with running `get_neighborhood_overview` on the best options.

Building custom Python wrappers for real estate APIs takes days of work and constant maintenance. This MCP Server gives your crew instant, structured access to 16 production-grade tools right out of the box, with zero code to maintain.

CrewAI agents use a shared memory system to pass tool outputs. When one agent fetches data using `get_full_property_profile`, that profile is automatically cached and made available to other agents in the crew, reducing duplicate API calls.

All requests for historical sales and marketplace listings are processed through isolated, ephemeral sandboxes. Your search criteria, target addresses, and agent prompts are never stored or used to train models. We secure all data in transit using industry-standard TLS.

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