How do I get a Miro Access Token?

Go to [**Miro Developer Portal**](https://developers.miro.com/), 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.

Miro MCP Server for LangChain 14 tools — connect in under 2 minutes

Name: Miro
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 14 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Miro through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "miro": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Miro, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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

About Miro MCP Server

Connect your Miro account to any AI agent and take full control of your visual collaboration through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Miro through native MCP adapters. Connect 14 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Miro MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 14 tools from Miro via MCP

Why Use LangChain with the Miro MCP Server

LangChain provides unique advantages when paired with Miro through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents — combine Miro MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Miro queries for multi-turn workflows

Miro + LangChain Use Cases

Practical scenarios where LangChain combined with the Miro MCP Server delivers measurable value.

RAG with live data: combine Miro tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Miro, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Miro tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Miro tool call, measure latency, and optimize your agent's performance

Miro MCP Tools for LangChain (14)

These 14 tools become available when you connect Miro to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting Miro to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Miro + LangChain FAQ

Common questions about integrating Miro MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.