Miro (Visual Collaboration & Whiteboarding) MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Miro (Visual Collaboration & Whiteboarding) 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="Miro (Visual Collaboration & Whiteboarding) Assistant",
instructions=(
"You help users interact with Miro (Visual Collaboration & Whiteboarding). "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Miro (Visual Collaboration & Whiteboarding)"
)
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 (Visual Collaboration & Whiteboarding) MCP Server
Connect your Miro account to any AI agent and take full control of your visual collaboration, digital whiteboarding, and team ideation through natural conversation.
The OpenAI Agents SDK auto-discovers all 8 tools from Miro (Visual Collaboration & Whiteboarding) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Miro (Visual Collaboration & Whiteboarding), another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Board Orchestration — List all accessible collaborative boards and retrieve detailed metadata including board titles and descriptions directly from your agent
- Visual Content Injection — Instantly create and attach new sticky notes or geometric shapes (rectangles, circles, triangles) to specific board coordinate grids securely
- Canvas Audit — List all distinct visual items physically attached inside a board, including text blocks and shapes, to understand the current state of your workspace
- Team Collaboration — Enumerate active team members sharing access across a specific board to verify direct viewer or editor permissions natively
- Organizational Tags — List semantic organizational tags applied inside a board to retrieve raw index groupings and manage project metadata efficiently
- Project Provisioning — Initialize fresh collaborative canvases on your active Miro account by creating brand new boards with custom titles and contextual overviews
The Miro (Visual Collaboration & Whiteboarding) 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.
How to Connect Miro (Visual Collaboration & Whiteboarding) to OpenAI Agents SDK via MCP
Follow these steps to integrate the Miro (Visual Collaboration & Whiteboarding) 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 8 tools from Miro (Visual Collaboration & Whiteboarding)
Why Use OpenAI Agents SDK with the Miro (Visual Collaboration & Whiteboarding) MCP Server
OpenAI Agents SDK provides unique advantages when paired with Miro (Visual Collaboration & Whiteboarding) 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 (Visual Collaboration & Whiteboarding) + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Miro (Visual Collaboration & Whiteboarding) MCP Server delivers measurable value.
Automated workflows: build agents that query Miro (Visual Collaboration & Whiteboarding), process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Miro (Visual Collaboration & Whiteboarding), another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Miro (Visual Collaboration & Whiteboarding) tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Miro (Visual Collaboration & Whiteboarding) to resolve tickets, look up records, and update statuses without human intervention
Miro (Visual Collaboration & Whiteboarding) MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect Miro (Visual Collaboration & Whiteboarding) to OpenAI Agents SDK via MCP:
create_board
Create a fresh new collaborative Miro Board
create_shape
Create and attach a geometric shape structure onto a Board
create_sticky_note
Create and attach a new sticky note component to a Board
get_board
Get static explicit configuration of a specific Miro Board
list_boards
List high-level Miro Boards accessible globally
list_items
) nested within the designated Board ID string. List raw items attached physically inside a Miro Board
list_members
List active team members sharing bounds across a Board
list_tags
List semantic organizational tags applied inside a board
Example Prompts for Miro (Visual Collaboration & Whiteboarding) in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Miro (Visual Collaboration & Whiteboarding) immediately.
"List all my Miro boards"
"Create a sticky note on board '12345' with the text 'Review API auth flow'"
"Show me the tags used in the 'UX Research' board"
Troubleshooting Miro (Visual Collaboration & Whiteboarding) MCP Server with OpenAI Agents SDK
Common issues when connecting Miro (Visual Collaboration & Whiteboarding) to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Miro (Visual Collaboration & Whiteboarding) + OpenAI Agents SDK FAQ
Common questions about integrating Miro (Visual Collaboration & Whiteboarding) 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 Miro (Visual Collaboration & Whiteboarding) 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 Miro (Visual Collaboration & Whiteboarding) to OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
