Miro MCP Server for Google ADK 14 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Miro as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="miro_agent",
instruction=(
"You help users interact with Miro "
"using 14 available tools."
),
tools=[mcp_tools],
)
* 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 MCP Server
Connect your Miro account to any AI agent and take full control of your visual collaboration through natural conversation.
Google ADK natively supports Miro as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 14 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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
The Miro MCP Server exposes 14 tools through the Vinkius. Connect it to Google ADK 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 to Google ADK via MCP
Follow these steps to integrate the Miro MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 14 tools from Miro via MCP
Why Use Google ADK with the Miro MCP Server
Google ADK provides unique advantages when paired with Miro through the Model Context Protocol.
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
Miro + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Miro MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Miro and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Miro tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Miro regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Miro
Miro MCP Tools for Google ADK (14)
These 14 tools become available when you connect Miro to Google ADK via MCP:
add_board_member
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
create_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
create_card
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
create_comment
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
create_sticky_note
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
delete_board_item
Provide the board ID and item ID. WARNING: this action is irreversible. Delete an item from a Miro board
get_board
Provide the board ID (found in the board URL or from list_boards). Get details for a specific Miro board
get_board_item
Provide the board ID and item ID. Get details for a specific item on a Miro board
get_user_context
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
list_board_items
) 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
list_board_members
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
list_boards
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
list_comments
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
update_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
Example Prompts for Miro in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Miro immediately.
"Show me all the sticky notes on my Sprint Planning board."
"Create a new board called 'Q2 OKRs' with a description 'Quarterly objectives and key results'."
"Add a sticky note to my board saying 'Meeting notes: Discussed API versioning strategy' at position x:100, y:200."
Troubleshooting Miro MCP Server with Google ADK
Common issues when connecting Miro to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkMiro + Google ADK FAQ
Common questions about integrating Miro MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
Connect Miro with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Miro to Google ADK
Get your token, paste the configuration, and start using 14 tools in under 2 minutes. No API key management needed.
