How to Use the Miro MCP in CrewAI

Q: Can a CrewAI agent monitor Miro activity?

Yes. Use listboarditems or listcomments in your agent loop. The agent will poll the board for changes and trigger actions based on its findings.

Q: Will CrewAI agents work on multiple Miro boards?

They will. By using listboards, agents can identify which board to target for specific tasks based on the board name or description.

Deploy autonomous agent crews to monitor and manage Miro boards using CrewAI.

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Connect Miro MCP to CrewAI

Create your Vinkius account to connect Miro 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.

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Setup Miro with CrewAI

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Autonomous board monitoring

Set a research agent to run `list_board_items` on a schedule. It can watch for new cards or sticky notes and report changes to the rest of the crew. This keeps your team informed without anyone having to open the dashboard. The agent handles the discovery and reports back findings.

Collaborative board updates

Assign one agent to analyze comments using `list_comments` and another to execute tasks with `create_comment`. They share memory to keep the conversation flowing. It creates a feedback loop where the crew acts on user feedback instantly. The board stays active while you focus on other work.

Hierarchical board operations

Use a moderator agent to oversee the `update_board` and `add_board_member` operations. It ensures only approved changes hit your production boards. This structure separates planning from action. Your crew plans the board layout, and the moderator verifies the final output.

Setup guide

Set up Miro 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 tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Miro 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 Analyst",
        goal="Access and analyze Miro data via MCP.",
        backstory="Expert analyst with direct Miro access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Miro 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.

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Common questions about Miro MCP in CrewAI

Yes. Use `list_board_items` or `list_comments` in your agent loop. The agent will poll the board for changes and trigger actions based on its findings.

Pass the server URL directly into your Agent configuration. Once connected, your agents gain access to all 14 board management tools.

They will. By using `list_boards`, agents can identify which board to target for specific tasks based on the board name or description.

It supports stdio, SSE, and HTTP. Choose the one that matches your environment setup for the most stable connection.

The server only reads board structures, item positions, and comment text. It never stores your board data; it simply facilitates the exchange between the agent and the Miro API.

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