Bring Whiteboarding
to CrewAI
Learn how to connect Miro to CrewAI and start using 8 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Miro MCP Server?
Connect your Miro account to any AI agent and simplify your visual collaboration and whiteboarding workflows through natural conversation.
What you can do
- Board Management — List all collaborative boards, retrieve detailed metadata, and create new boards programmatically
- Visual Content Control — List all items on a board (sticky notes, shapes, text) and place new content directly from your agent
- Member Coordination — Query board members and sharing settings to manage access across your organization
- Operational tracking — Monitor board activity and stay on top of your visual projects
- Direct Whiteboarding — Add sticky notes and ideas to a board without leaving your conversation
How it works
1. Subscribe to this server
2. Enter your Miro Access Token (OAuth 2.0)
3. Start managing your visual collaboration from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Product Managers — organize roadmaps, sprint planning, and user journey maps visually.
- Designers & UX Researchers — manage board items, sticky notes, and brainstorming artifacts directly.
- Agile Teams — automate the creation of project boards and member synchronization.
Built-in capabilities (8)
Create a new Miro board
Add a sticky note to a board
Delete a Miro board
Get details for a specific board
List all items on a board
List board collaborators
List Miro boards
List linked organizations
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.
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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
Miro and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Miro to CrewAI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Miro in CrewAI
The Miro 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. All 8 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in CrewAI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Miro for CrewAI
Every tool call from CrewAI to the Miro MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I list all items on a Miro board using my AI agent?
Yes! Use the list_board_items tool and provide the Board ID. Your agent will retrieve all widgets, sticky notes, and text blocks on that board.
How do I add a new sticky note to a board?
Use the create_sticky_note action. Provide the Board ID and the content of your note to place it programmatically on the whiteboard.
Is it possible to manage board members via AI?
Yes, the get_board_members tool allows you to retrieve a list of all users who have access to a specific board, along with their roles.
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.