How do I get my Customer ID and API Key?

Log in to the magicplan Cloud dashboard as an admin, navigate to Workspace Settings > API to generate your credentials.

Can I see the measurements of a specific room?

Yes, the `get_plan_measurements` tool returns numeric data for the entire plan, individual floors, and every room within those floors.

What is included in the financial estimate details?

The `get_estimate_details` tool retrieves customer contact info, financial totals (labor, material, tax), and a full list of itemized positions/tasks.

Magicplan MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: Magicplan
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Magicplan through the Vinkius — pass the Edge URL in the `mcps` parameter and every Magicplan tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Magicplan Specialist",
    goal="Help users interact with Magicplan effectively",
    backstory=(
        "You are an expert at leveraging Magicplan tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token — get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Magicplan "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Magicplan MCP Server

Connect your Magicplan workspace to any AI agent to automate your architectural and estimation workflows. This MCP server enables your agent to interact with floor plans, retrieve precise spatial measurements, and access detailed financial estimates directly from natural language interfaces.

When paired with CrewAI, Magicplan becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Magicplan tools autonomously — one agent queries data, another analyzes results, a third compiles reports — all orchestrated through the Vinkius with zero configuration overhead.

What you can do

Project Oversight — List all architectural projects and retrieve detailed metadata and status updates
Spatial Intelligence — Access full floor plan spatial data including floors, rooms, and individual object placements
Precise Measurements — Retrieve numeric statistics such as area, perimeter, and volume for any plan or specific room
Estimation Audit — Access comprehensive financial breakdowns including labor, materials, taxes, and itemized positions
User Management — List collaborators and manage workspace access across your architectural teams
Data Collection — Query inspection forms and survey data attached directly to your floor plans

The Magicplan MCP Server exposes 10 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Magicplan to CrewAI via MCP

Follow these steps to integrate the Magicplan MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py — CrewAI auto-discovers 10 tools from Magicplan

Why Use CrewAI with the Magicplan MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Magicplan through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles — one agent researches, another analyzes, a third generates reports — each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass the Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Magicplan + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Magicplan MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Magicplan for raw data, then a second analyst agent cross-references findings and flags anomalies — all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Magicplan, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Magicplan tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Magicplan against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Magicplan MCP Tools for CrewAI (10)

These 10 tools become available when you connect Magicplan to CrewAI via MCP:

get_estimate_details

Get full financial breakdown for an estimate

get_plan_form_data

Retrieve forms attached to a specific plan

get_plan_measurements

Get numeric measurements for a plan

get_project_details

Get metadata for a specific project

get_project_floor_plan

Get full spatial data for a project

get_workspace_info

Get configuration for the current workspace

list_available_forms

List all data collection forms (checklists)

list_magicplan_projects

List all floor plan projects

list_project_estimates

List all financial estimates for a project

list_workspace_users

List all users in the Magicplan workspace

Example Prompts for Magicplan in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Magicplan immediately.

"List all architectural projects in my Magicplan workspace."

"Show the floor plan measurements for project ID '123'."

"Get the financial breakdown for estimate 'est-987' in project '456'."

Troubleshooting Magicplan MCP Server with CrewAI

Common issues when connecting Magicplan to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts — check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

The Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Magicplan + CrewAI FAQ

Common questions about integrating Magicplan MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily — when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.