Miro MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 8 tools to Create Board, Create Sticky Note, Delete Board, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Miro through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this App Connector for OpenAI Agents SDK
The Miro app connector for OpenAI Agents SDK is a standout in the Industry Titans category — giving your AI agent 8 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="Miro Assistant",
instructions=(
"You help users interact with Miro. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Miro"
)
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 Miro MCP Server
Connect your Miro account to any AI agent and simplify your visual collaboration and whiteboarding workflows through natural conversation.
The OpenAI Agents SDK auto-discovers all 8 tools from Miro through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Miro, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Board Management — List all collaborative boards, retrieve detailed metadata, and create new boards programmatically
- Visual Content Control — List all items on a board (sticky notes, shapes, text) and place new content directly from your agent
- Member Coordination — Query board members and sharing settings to manage access across your organization
- Operational tracking — Monitor board activity and stay on top of your visual projects
- Direct Whiteboarding — Add sticky notes and ideas to a board without leaving your conversation
The Miro MCP Server exposes 8 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.
All 8 Miro tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to Miro through Vinkius, your AI agent gets direct access to every tool listed below — spanning whiteboarding, visual-collaboration, brainstorming, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Create a new Miro board
Add a sticky note to a board
Delete a Miro board
Get details for a specific board
List all items on a board
List board collaborators
List Miro boards
List linked organizations
Connect Miro to OpenAI Agents SDK via MCP
Follow these steps to wire Miro into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the Miro MCP Server
OpenAI Agents SDK provides unique advantages when paired with Miro 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
Miro + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Miro MCP Server delivers measurable value.
Automated workflows: build agents that query Miro, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Miro, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Miro tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Miro to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for Miro in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Miro immediately.
"List all boards in my Miro account."
"Add a sticky note with 'Implement SSO' to the 'Engineering' board."
"Who has access to the 'Confidential Strategy' board?"
Troubleshooting Miro MCP Server with OpenAI Agents SDK
Common issues when connecting Miro to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Miro + OpenAI Agents SDK FAQ
Common questions about integrating Miro 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.