How to Use the Mashvisor MCP in CrewAI

Q: How do I connect the Mashvisor tools to my CrewAI agents?

Install the crewaitools package. Pass the Vinkius endpoint URL directly into the mcps parameter when defining your agent. The framework automatically loads all ten real estate endpoints from the MCP server.

Q: Can I restrict specific Mashvisor tools to certain CrewAI agents?

Yes. You use the MCPServerHTTP class and configure a toolfilter. You can give your research agent access to getcitylistings while restricting getairbnbproperty to your financial analyst.

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Connect Mashvisor MCP to CrewAI

Create your Vinkius account to connect Mashvisor 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 with CrewAI

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Run CrewAI Market Research Teams

The `list_neighborhoods` tool feeds raw investment data directly to your designated research agent. In a CrewAI setup, this first agent scans the market and identifies high-yield zip codes. It then passes those target areas through shared memory to an analysis agent for deeper inspection. You configure this by passing the Vinkius URL into the `mcps` array of your agent definition. The framework handles the HTTP transport natively. Your multi-agent crew operates autonomously without you writing custom API wrappers for the Mashvisor MCP server.

Delegate Property Analysis

The `search_properties` tool allows your sourcing agent to find active listings based on specific investment metrics. Once the sourcing agent compiles a list, a separate financial agent takes over. This second agent runs `get_investment_analysis` on every property to calculate ROI and cap rates. You restrict which agent accesses which endpoint using `tool_filter` in the `MCPServerHTTP` class. Your sourcing agent only sees search tools, while your financial agent only accesses the math endpoints. This role-based specialization prevents agents from hallucinating outside their specific jobs.

Evaluate Competing Rental Strategies

The `get_rental_rates` tool gives your traditional rental analyst the rent distribution statistics it needs. Simultaneously, your short-term rental analyst hits `get_historical_performance` to check Airbnb seasonality. A third moderator agent reviews both reports and decides which strategy yields better returns. The entire debate happens within the CrewAI execution loop. The MCP Server provides the raw market facts, and your hierarchical crew argues the merits of each property based on hard data.

Setup guide

Set up Mashvisor 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 tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Mashvisor 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 Analyst",
        goal="Access and analyze Mashvisor data via MCP.",
        backstory="Expert analyst with direct Mashvisor access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Mashvisor 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 MCP in CrewAI

Install the `crewai[tools]` package. Pass the Vinkius endpoint URL directly into the `mcps` parameter when defining your agent. The framework automatically loads all ten real estate endpoints from the MCP server.

Yes. You use the `MCPServerHTTP` class and configure a `tool_filter`. You can give your research agent access to `get_city_listings` while restricting `get_airbnb_property` to your financial analyst.

The agents use shared memory to pass context. When one agent runs `get_property`, the resulting building attributes become available to the rest of the crew for subsequent analysis tasks.

The integration supports stdio, Server-Sent Events, and Streamable HTTP. Vinkius provides a managed HTTP endpoint that connects directly to your Python environment.

The specific addresses and capitalization requirements you send to `get_investment_analysis` process within an isolated sandbox. Vinkius operates on a zero-trust model and destroys the execution state the second the calculation finishes. Your proprietary crew strategies remain private.

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