Can I add a sticky note to a specific Miro board through my agent?

Yes. Use the `create_sticky_note` tool by providing the Board ID and your text content. Your agent will inject a basic colored note onto the board's coordinate grid immediately, perfect for rapid ideation.

How do I see all the items currently on a board?

The `list_items` tool retrieves all visual components physically attached to a board. Your agent will return a list of sticky notes, shapes, and text blocks, helping you audit the canvas content without opening the browser.

Can my agent list the team members who have access to my boards?

Absolutely. Use the `list_members` tool with a specific Board ID. Your agent will report all active collaborators explicitly granted access, allowing you to verify viewer and editor permissions across your workspace.

Miro (Visual Collaboration & Whiteboarding) MCP Server for CrewAI 8 tools — connect in under 2 minutes

Name: Miro (Visual Collaboration & Whiteboarding)
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 8 Tools Framework

Connect your CrewAI agents to Miro (Visual Collaboration & Whiteboarding) through the Vinkius — pass the Edge URL in the `mcps` parameter and every Miro (Visual Collaboration & Whiteboarding) tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Miro (Visual Collaboration & Whiteboarding) Specialist",
    goal="Help users interact with Miro (Visual Collaboration & Whiteboarding) effectively",
    backstory=(
        "You are an expert at leveraging Miro (Visual Collaboration & Whiteboarding) tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token — get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Miro (Visual Collaboration & Whiteboarding) "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 8 available tools "
        "and what they can do."
    ),
)

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

Miro (Visual Collaboration & Whiteboarding)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

When paired with CrewAI, Miro (Visual Collaboration & Whiteboarding) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Miro (Visual Collaboration & Whiteboarding) tools autonomously — one agent queries data, another analyzes results, a third compiles reports — all orchestrated through the Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Miro (Visual Collaboration & Whiteboarding) MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py — CrewAI auto-discovers 8 tools from Miro (Visual Collaboration & Whiteboarding)

Why Use CrewAI with the Miro (Visual Collaboration & Whiteboarding) MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Miro (Visual Collaboration & Whiteboarding) through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles — one agent researches, another analyzes, a third generates reports — each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass the Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Miro (Visual Collaboration & Whiteboarding) + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Miro (Visual Collaboration & Whiteboarding) MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Miro (Visual Collaboration & Whiteboarding) for raw data, then a second analyst agent cross-references findings and flags anomalies — all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Miro (Visual Collaboration & Whiteboarding), analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Miro (Visual Collaboration & Whiteboarding) tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Miro (Visual Collaboration & Whiteboarding) against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Miro (Visual Collaboration & Whiteboarding) MCP Tools for CrewAI (8)

These 8 tools become available when you connect Miro (Visual Collaboration & Whiteboarding) to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

Common issues when connecting Miro (Visual Collaboration & Whiteboarding) to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts — check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

The Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Miro (Visual Collaboration & Whiteboarding) + CrewAI FAQ

Common questions about integrating Miro (Visual Collaboration & Whiteboarding) MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily — when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.