How to Use the Idealista (Real Estate) MCP in CrewAI

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Connect Idealista (Real Estate) MCP to CrewAI

Create your Vinkius account to connect Idealista (Real Estate) 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 Idealista (Real Estate) with CrewAI

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Autonomous research teams for CrewAI

Assign a dedicated agent in your crew to run `buscar_inmuebles` while another agent analyzes the market pricing. CrewAI shares the memory between them for a cohesive strategy. This prevents redundant work. Your agents collaborate on the same set of property data to give you a complete picture.

Role-based property inspection

Give your 'Analyst' agent exclusive access to `pisos_venta` and `obra_nueva` tools to focus on investment opportunities. Your 'Assistant' agent can stick to general inquiries. It creates a clear division of labor. Each agent in your CrewAI setup operates within its own specialized domain.

Automated listing monitoring

Set up a monitor agent to watch for new `pisos_alquiler` listings and flag them for your human lead. The agent runs in the background and reports back only when it finds a match. This removes the manual effort from your day. Your CrewAI setup keeps you informed without constant checking.

Setup guide

Set up Idealista (Real Estate) 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 Idealista (Real Estate) tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Idealista (Real Estate) 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 Idealista. 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 Idealista (Real Estate) MCP in CrewAI

You pass the server URL directly into your agent definition. CrewAI handles the connection, allowing your agents to invoke tools like `locales_comerciales` as needed.

Yes. CrewAI allows shared memory across agents. Once one agent retrieves data from `buscar_inmuebles`, the entire crew can analyze those results.

Yes. Every request is isolated through the MCP standard. Your Idealista (Real Estate) session is strictly scoped to your specific CrewAI agent deployment.

It does. You can assign the search tools to a sub-agent that reports to a manager agent. This structure keeps your CrewAI logic clean and organized.

You manage your endpoint tokens as environment variables. CrewAI injects these into the MCP connection at runtime, ensuring your sensitive data is never hardcoded.

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