Bring Whiteboarding
to CrewAI
Create your Vinkius account to connect Miro to CrewAI and start using all 14 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
Compatible with every major AI agent and IDE
What is the Miro MCP Server?
Connect your Miro account to any AI agent and take full control of your visual collaboration through natural conversation.
What you can do
- Board Management — List, create, update and inspect boards with their descriptions, owners and permissions
- Item Operations — Browse all widgets on a board (sticky notes, cards, shapes, texts, connectors, images) with their content and positions
- Content Creation — Create sticky notes and cards programmatically with custom content and canvas positions
- Member Management — List board members and add new users with specific roles (owner, admin, editor, commenter, viewer)
- Comments — Read and add comments on boards for async collaboration feedback
How it works
- Subscribe to this server
- Enter your Miro Access Token (OAuth 2.0 or Personal Access Token)
- Start managing your visual workspace from Claude, Cursor, or any MCP-compatible client
No more switching to the Miro app to check board content or add a quick sticky note. Your AI acts as a dedicated visual collaboration assistant.
Who is this for?
- Product Managers — quickly review board contents, add meeting notes as sticky notes and track team feedback without opening Miro
- Designers — audit board items, review card contents and manage board membership for design reviews
- Team Leads — monitor collaboration activity, review comments and ensure proper board access for team members
Built-in capabilities (14)
Requires the board ID and user ID. Optionally set the role (owner, admin, editor, commenter, viewer). The user must already have a Miro account. Add a member to a Miro board
Requires the board name and optionally a description. Returns the created board with its ID, view link and edit link. Create a new Miro board
Requires the board ID and card title. Optionally set a description and x,y position. Cards are structured content widgets with title and description fields. Create a card widget on a Miro board
Requires the board ID and comment content. Optionally reply to an existing comment by providing its ID as parent_id. Add a comment to a Miro board
Requires the board ID and the sticky note content (text). Optionally set the x,y position on the canvas. Returns the created sticky note with its ID and position. Create a sticky note on a Miro board
Provide the board ID and item ID. WARNING: this action is irreversible. Delete an item from a Miro board
Provide the board ID (found in the board URL or from list_boards). Get details for a specific Miro board
Provide the board ID and item ID. Get details for a specific item on a Miro board
Returns user ID, name, email, avatar and account type. Use this to verify your access token is working correctly and to see which user identity the API calls will appear as. Get the authenticated Miro user context
) placed on a Miro board. Each item includes its type, ID, content, position, rotation, size and style. Optionally filter by item type (sticky_note, card, shape, text, connector, image, embed, frame, document, mind_map) and set a limit. List items (widgets) on a Miro board
Each member shows their user ID, name, email, role (owner, admin, editor, commenter, viewer) and permission level. Optionally set a limit. List members of a Miro board
Each board includes its ID, name, description, creation date, owner and permissions. Optionally set a limit on the number of results. Use this to discover boards before accessing their content. List Miro boards accessible by the user
Each comment includes its ID, content text, author info, creation date and parent comment ID (for replies). Optionally set a limit. List comments on a Miro board
Provide the board ID and the new name and/or description. Only provided fields will be updated. Update a Miro board name or description
Why CrewAI?
When paired with CrewAI, Miro becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Miro tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
- —
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
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CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter 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
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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 in CrewAI
Why run Miro with Vinkius?
The Miro connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 14 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.




Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Miro using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Miro and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Miro to CrewAI through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Miro for CrewAI
Every request between CrewAI and Miro is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
How do I get a Miro Access Token?
Go to Miro Developer Portal, create an app, and generate a Personal Access Token (PAT) or set up OAuth 2.0. PATs are simpler for personal use — go to your app settings and create a token under 'Personal Access Tokens'. Copy it immediately as it won't be shown again.
Can I create sticky notes programmatically?
Yes! Use create_sticky_note with the board ID and content text. Optionally set x,y coordinates on the canvas for precise positioning. The sticky note will appear on the board immediately and all collaborators will see it in real-time.
Can I manage board members via the API?
Yes! Use list_board_members to see who has access and their roles, and add_board_member to grant access to new users with a specific role (owner, admin, editor, commenter, viewer). The user must already have a Miro account.
Can I filter board items by type?
Yes! Use list_board_items with the type parameter to filter by: sticky_note, card, shape, text, connector, image, embed, frame, document, or mind_map. This is useful for finding specific widget types without loading all board content.
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.
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
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.
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