How to Use the CBRE Econometric Advisors (EA) MCP in CrewAI

Q: How do I filter tools for a specific CrewAI agent?

Use the toolfilter parameter in your agent configuration. This ensures that only the relevant CBRE tools are exposed to the specific agent.

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Connect CBRE Econometric Advisors (EA) MCP to CrewAI

Create your Vinkius account to connect CBRE Econometric Advisors (EA) 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 CBRE Econometric Advisors (EA) with CrewAI

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CrewAI Agent Collaboration

Assign one agent to `list_submarkets` while another processes the resulting `get_market_forecasts`. They share memory to refine the analysis as they work. This collaborative approach mimics how a real research team functions. One agent gathers the facts while the other synthesizes the final report.

Macroeconomic Data Gathering

Task your research agent with executing `get_macroeconomic_data` across multiple regions. It collects population and income stats to build a broader market picture. This removes the need for you to manually query individual regions. Your crew handles the heavy lifting of data aggregation.

Market Cap Rate Analysis

Use `get_market_cap_rates` to feed your analysis agents the metrics they need. They evaluate the health of a sector based on current NOI data. This provides a foundation for your autonomous agents to make informed decisions. You define the objectives and the crew executes the plan.

Setup guide

Set up CBRE Econometric Advisors (EA) 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 CBRE Econometric Advisors (EA) tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent CBRE Econometric Advisors (EA) 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 CBRE EA. 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 CBRE Econometric Advisors (EA) MCP in CrewAI

CrewAI uses shared memory slots. Once an agent retrieves market data, it becomes accessible to other members of the crew for their specific tasks.

Yes, you can configure your crew to run parallel tasks. This is useful for gathering data across several markets simultaneously.

It is. You can set a manager agent to oversee the market research and delegate specific tool calls to the worker agents.

Use the tool_filter parameter in your agent configuration. This ensures that only the relevant CBRE tools are exposed to the specific agent.

All requests pass through a zero-trust gateway. We strip non-essential headers and ensure that only the requested market data reaches your agent's context.

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