How to Use the Miro (Visual Collaboration & Whiteboarding) MCP in CrewAI

Q: Can different CrewAI agents use different Miro (Visual Collaboration & Whiteboarding) tools?

Yes, you can filter tools using MCPServerHTTP to restrict specific actions. For example, you can allow your researcher agent to only run listitems while giving your coordinator agent full createboard permissions.

Deploy specialized agent teams to research, design, and populate Miro boards autonomously with CrewAI and this MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Miro (Visual Collaboration & Whiteboarding) MCP to CrewAI

Create your Vinkius account to connect Miro (Visual Collaboration & Whiteboarding) to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Miro (Visual Collaboration & Whiteboarding) with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Multi-agent brainstorming sessions via this MCP Server

`create_sticky_note` allows your specialized agents to write their individual research findings directly onto a shared board. A researcher agent can pull data from external sources, while a writer agent formats and places the notes. This multi-agent setup mimics a real human brainstorming session. Each agent focuses on its specific role, using this MCP Server tool to collaborate visually without overwriting each other's work.

Autonomous board audits and member tracking

`list_members` lets a moderator agent monitor who has access to your collaborative boards. The agent runs this check periodically to ensure only authorized team members are participating in active sessions. If the moderator agent detects unauthorized users, it can flag the board for review. This keeps your visual workspaces secure during long-running autonomous operations.

Map out project boards with structured shapes

`create_shape` builds visual containers to separate different phases of your project. A coordinator agent uses this tool to partition the board before other agents start dropping sticky notes. Organizing the canvas with shapes prevents chaotic layouts. Your crew of agents works within defined visual boundaries, making the final board easy for human teams to read and use.

Setup guide

Set up Miro (Visual Collaboration & Whiteboarding) MCP in CrewAI

Prerequisites

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

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Miro (Visual Collaboration & Whiteboarding) tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Miro (Visual Collaboration & Whiteboarding) Analyst",
    goal="Access and analyze Miro (Visual Collaboration & Whiteboarding) data via MCP.",
    backstory="Expert analyst with direct Miro (Visual Collaboration & Whiteboarding) access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Miro (Visual Collaboration & Whiteboarding) transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Miro (Visual Collaboration & Whiteboarding) Analyst",
        goal="Access and analyze Miro (Visual Collaboration & Whiteboarding) data via MCP.",
        backstory="Expert analyst with direct Miro (Visual Collaboration & Whiteboarding) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Miro (Visual Collaboration & Whiteboarding) transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Miro. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Miro (Visual Collaboration & Whiteboarding) now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Miro (Visual Collaboration & Whiteboarding) MCP in CrewAI

Pass the Vinkius server HTTP URL directly into your agent's `mcps` array parameter. This single step exposes all eight Miro tools to your specialized agent crew.

Yes, you can filter tools using `MCPServerHTTP` to restrict specific actions. For example, you can allow your researcher agent to only run `list_items` while giving your coordinator agent full `create_board` permissions.

CrewAI manages agent execution sequentially or hierarchically. This prevents multiple agents from calling `create_sticky_note` at the exact same coordinates, keeping your board layout clean.

Yes, the server accesses any board your Vinkius token has permission to view. Your agents can interact with private team boards just as easily as public ones.

The integration uses zero-trust ephemeral sandboxes to execute every tool call. Your board IDs, visual items, and team member lists are never cached or stored, keeping your corporate workspace secure.

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