Miro MCP Server for Mastra AI 14 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Miro through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"miro": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Miro Agent",
instructions:
"You help users interact with Miro " +
"using 14 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Miro?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Miro tool infrastructure. Connect 14 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Miro MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 14 tools from Miro via MCP
Why Use Mastra AI with the Miro MCP Server
Mastra AI provides unique advantages when paired with Miro through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Miro without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Miro tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Miro + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Miro MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Miro, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Miro as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Miro on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Miro tools alongside other MCP servers
Miro MCP Tools for Mastra AI (14)
These 14 tools become available when you connect Miro to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Miro to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpMiro + Mastra AI FAQ
Common questions about integrating Miro MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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 Mastra AI
Get your token, paste the configuration, and start using 14 tools in under 2 minutes. No API key management needed.