Miro MCP Server for Pydantic AIGive Pydantic AI instant access to 8 tools to Create Board, Create Sticky Note, Delete Board, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Miro through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this App Connector for Pydantic AI
The Miro app connector for Pydantic AI 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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Miro "
"(8 tools)."
),
)
result = await agent.run(
"What tools are available in Miro?"
)
print(result.data)
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.
Pydantic AI validates every Miro tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI
When Pydantic AI 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 Pydantic AI via MCP
Follow these steps to wire Miro into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the Miro MCP Server
Pydantic AI provides unique advantages when paired with Miro through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Miro integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Miro connection logic from agent behavior for testable, maintainable code
Miro + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Miro MCP Server delivers measurable value.
Type-safe data pipelines: query Miro with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Miro tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Miro and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Miro responses and write comprehensive agent tests
Example Prompts for Miro in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting Miro to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiMiro + Pydantic AI FAQ
Common questions about integrating Miro MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.