How to Use the Room Proportion Checker MCP in CrewAI

Build autonomous design teams with CrewAI for proportion checking.

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Connect Room Proportion Checker MCP to CrewAI

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Setup Room Proportion Checker with CrewAI

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Specialized Dimension Analysis

You can assign different roles to your agents. One agent might run `calculate_axis_balance_ratio` to get a raw symmetry score, while another analyzes the output of that first step using `classify_room_proportions`. This separation of tasks makes the process highly auditable. The shared memory ensures that Agent B always has access to the data generated by Agent A.

Handling Incomplete Room Data

If your design input lacks a height, one agent can run `evaluate_floor_area_index` using the default 2.5m value. This prevents the entire operation from failing because of missing data points. The crew structure means that even if one step is incomplete, another specialized agent can take over and fill in the necessary checks.

Autonomous Review Execution

You set up a hierarchical workflow: Agent 1 collects room dimensions. Agent 2 runs all three tools (`calculate_axis_balance_ratio`, `classify_room_proportions`, and `evaluate_floor_area_index`). Finally, the Monitor Agent reviews the consolidated findings for immediate violations. This allows your autonomous operations to complete complex checks without requiring human intervention.

Setup guide

Set up Room Proportion Checker 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 Room Proportion Checker tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Room Proportion Checker 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 Room Proportion Checker. 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 Room Proportion Checker MCP in CrewAI

You define a collaborative 'crew' where specialized agents take turns. One agent runs the proportion checks, and another aggregates and reports the final findings.

Yes. You can build sequential or hierarchical execution chains. This means Agent A must complete its analysis before Agent B even starts running its tools.

It uses raw dimensional inputs (L, W, H). The system evaluates these to determine compliance with architectural standards and visual harmony principles.

You can assign different tools to different agents. For instance, one agent handles the balance ratio, and another handles the floor area index calculation.

The server touches raw dimensional measurements, specifically length, width, and height (L, W, H). This is geometric data used for structural assessment.

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