Magicplan MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Magicplan through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Magicplan Assistant",
instructions=(
"You help users interact with Magicplan. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Magicplan"
)
print(result.final_output)
asyncio.run(main())
* 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.
The OpenAI Agents SDK auto-discovers all 10 tools from Magicplan through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Magicplan, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Magicplan MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Magicplan
Why Use OpenAI Agents SDK with the Magicplan MCP Server
OpenAI Agents SDK provides unique advantages when paired with Magicplan through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Magicplan + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Magicplan MCP Server delivers measurable value.
Automated workflows: build agents that query Magicplan, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Magicplan, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Magicplan tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Magicplan to resolve tickets, look up records, and update statuses without human intervention
Magicplan MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Magicplan to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Magicplan to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Magicplan + OpenAI Agents SDK FAQ
Common questions about integrating Magicplan MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Magicplan with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Magicplan to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.