How to Use the Magicplan MCP in OpenAI Agents SDK

Q: How does this MCP Server handle project measurements?

It serves raw numeric data from getplanmeasurements. You define how the agent interprets these values for your specific business logic.

Connect Magicplan data directly to your OpenAI Agents SDK production pipelines for precise spatial and financial tracking.

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Connect Magicplan MCP to OpenAI Agents SDK

Create your Vinkius account to connect Magicplan to OpenAI Agents SDK 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 OpenAI Agents SDK

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Direct project data access for OpenAI Agents SDK

Your agent fetches project metadata and floor plan details in real-time. Use `get_project_details` and `get_project_floor_plan` to feed architectural context into your agent's reasoning loop without manual exports. This MCP Server handles the connection logic, allowing your agent to query spatial data directly. The OpenAI Agents SDK automatically maps these tools, ensuring your production agent has immediate access to the latest project specs.

Automated financial and form tracking

Trigger your agent to pull cost breakdowns using `list_project_estimates` and `get_estimate_details`. You can now reconcile budgets against your actual floor plan measurements automatically. Agents handle the heavy lifting by calling `list_available_forms` to identify required documentation. It's about moving data from your field reports to your central dashboard without human intervention.

Workspace user management for your agent

Control which workspace users can trigger specific actions by querying `list_workspace_users`. Your agent uses this data to verify permissions before executing sensitive tasks like updating estimates. Use `get_workspace_info` to keep your agent aware of current configuration settings. Everything stays within your established security boundaries while the agent manages the routine data retrieval.

Setup guide

Set up Magicplan MCP in OpenAI Agents SDK

Prerequisites

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

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Magicplan tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Magicplan tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Magicplan tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Magicplan Agent",
            instructions="You have access to Magicplan tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Magicplan MCP in OpenAI Agents SDK

You instantiate an MCPServerStreamableHttp object with your endpoint and pass it into the agent constructor. The SDK handles discovery, so your tools are ready to call immediately.

Yes, you can implement guardrails within your agent logic to check outputs. The agent intercepts tool responses before they affect your production workflow.

The server operates over encrypted channels. You control the scope of the agent's access by limiting the tools exposed during initialization.

The server returns an error code that the SDK catches. You can configure your agent to retry or alert you based on the specific response.

It serves raw numeric data from `get_plan_measurements`. You define how the agent interprets these values for your specific business logic.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python