3,400+ MCP servers ready to use
Vinkius
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Bring Whiteboarding
to Google ADK

Learn how to connect Miro to Google ADK and start using 8 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

Create BoardCreate Sticky NoteDelete BoardGet Board DetailsList Board ItemsList Board MembersList BoardsList Organizations

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_board

Create a new Miro board

create_sticky_note

Add a sticky note to a board

delete_board

Delete a Miro board

get_board_details

Get details for a specific board

list_board_items

List all items on a board

list_board_members

List board collaborators

list_boards

List Miro boards

list_organizations

List linked organizations

Why Google ADK?

Google ADK natively supports Miro as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

  • Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

  • Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Miro

  • Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

  • Seamless integration with Google Cloud services means you can combine Miro tools with BigQuery, Vertex AI, and Cloud Functions

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See it in action

Miro in Google ADK

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Miro and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect Miro to Google ADK 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.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Miro in Google ADK

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 Google ADK 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.

Miro
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

The Vinkius Advantage

How Vinkius secures Miro for Google ADK

Every tool call from Google ADK to the Miro MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

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.

02

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.

03

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.

04

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

05

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

06

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.

07

McpToolset not found

Update: pip install --upgrade google-adk