Miro MCP Server for LangChainGive LangChain instant access to 8 tools to Create Board, Create Sticky Note, Delete Board, and more
LangChain is the leading Python framework for composable LLM applications. Connect Miro through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
Ask AI about this App Connector for LangChain
The Miro app connector for LangChain is a standout in the Industry Titans category — giving your AI agent 8 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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-alternative": {
"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())
* 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 simplify your visual collaboration and whiteboarding workflows through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Miro through native MCP adapters. Connect 8 tools via 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 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
The Miro MCP Server exposes 8 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.
All 8 Miro tools available for LangChain
When LangChain connects to Miro through Vinkius, your AI agent gets direct access to every tool listed below — spanning whiteboarding, visual-collaboration, brainstorming, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
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
Connect Miro to LangChain via MCP
Follow these steps to wire Miro into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
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
Example Prompts for Miro in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Miro immediately.
"List all boards in my Miro account."
"Add a sticky note with 'Implement SSO' to the 'Engineering' board."
"Who has access to the 'Confidential Strategy' board?"
Troubleshooting Miro MCP Server with LangChain
Common issues when connecting Miro to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersMiro + LangChain FAQ
Common questions about integrating Miro MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.