How to Use the Magicplan MCP in Google ADK

Q: Can I filter Magicplan tools in Google ADK?

You can use the toolnames parameter to restrict what your agent sees. This keeps your agent focused on specific tasks like measurement retrieval.

Integrate Magicplan spatial insights into your Google ADK enterprise agents running on Google Cloud.

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Connect Magicplan MCP to Google ADK

Create your Vinkius account to connect Magicplan to Google ADK 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 Magicplan with Google ADK

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Google ADK agents with spatial intelligence

Pipe floor plan measurements directly into your Google Cloud workflows. Your agent calls `get_plan_measurements` and `get_project_floor_plan` to analyze architectural data alongside your BigQuery datasets. This MCP Server acts as the bridge between your physical site data and your cloud-native infrastructure. Your agents now possess the context needed to process complex building layouts.

Financial estimates in your agent pipeline

Your agent queries `list_project_estimates` to pull costs into your enterprise reporting engine. It fetches granular line items via `get_estimate_details` to keep your financial projections accurate. This integration allows your agent to compare field-collected estimates against historical project costs stored in your cloud environment.

Manage Magicplan forms through Google ADK

Automate your data collection by having the agent list and retrieve form data. Use `list_available_forms` to see what's pending and `get_plan_form_data` to pull the actual values. Your agent keeps the workflow moving by identifying incomplete checklists. It ensures your site data is captured and moved to your storage systems without manual entry.

Setup guide

Set up Magicplan MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Magicplan tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Magicplan_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Magicplan tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Magicplan MCP in Google ADK

Yes, you use the McpToolset class to connect the server. It supports both Stdio and HTTP transports to match your deployment environment.

You can use the tool_names parameter to restrict what your agent sees. This keeps your agent focused on specific tasks like measurement retrieval.

You write an agent flow that retrieves data via this MCP Server and writes the output to your database. The agent acts as the ingestion worker.

All communication occurs over secure HTTP or local pipes. Your Google Cloud environment maintains its existing security posture.

It accesses project metadata, floor plan measurements, financial estimates, and user lists. These are read-only assets you choose to expose.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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