How to Use the Area Program Calculator MCP in CrewAI

Deploy a specialized architectural crew using the Area Program Calculator MCP.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect Area Program Calculator MCP to CrewAI

Create your Vinkius account to connect Area Program Calculator to CrewAI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Area Program Calculator with CrewAI

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Automated site area analysis

Assign an agent the task of running `get_base_area_by_function` to gather initial data. This allows your team to focus on high-level design rather than basic measurements. Each agent shares memory, so one agent can fetch the data while another validates it against your zoning constraints. You get a cohesive team working toward a single goal.

Collaborative programmatic planning

Use `calculate_programmatic_needs` to aggregate room functions across your entire building project. Your specialized agents work in sequence to ensure the total area remains within your budget. This removes the need for manual oversight. Your agents flag discrepancies early in the process, allowing for rapid adjustments before the design phase concludes.

Structural integrity verification

Let your structural agent invoke `adjust_area_for_structure` to calculate the impact of your building's frame. It applies the necessary multipliers to ensure your model is physically feasible. Your crew monitors these results in real-time. If the structural overhead spikes, the agent triggers an alert or suggests a redesign based on the calculated output.

Setup guide

Set up Area Program Calculator 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 Area Program Calculator tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Area Program Calculator 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 →

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