How to Use the Miro MCP in Pydantic AI

Q: How do I register the Miro MCP Server in Pydantic AI?

Initialize the connection using MCPToolset with your Vinkius HTTP URL. Pass this toolset into the Agent constructor to expose tools like createboard under strict runtime validation.

Q: Can I use Pydantic AI to clean up Miro boards?

Yes. Your agent can call listboards to find inactive workspaces, verify their details, and safely run deleteboard once validation checks pass.

Q: How does this setup protect Miro collaborator list data?

All collaborator emails, organization IDs from listorganizations, and board access permissions are processed entirely in memory. They are transmitted directly to Miro's servers via HTTPS, bypassing persistent storage on Vinkius completely.

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Connect Miro MCP to Pydantic AI

Create your Vinkius account to connect Miro to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Miro with Pydantic AI

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Type-Safe Canvas Updates with Pydantic AI

Calling `create_sticky_note` with Pydantic AI guarantees that every coordinate and text string matches the Miro API schema exactly. This integration lets Pydantic AI validate the tool's inputs and outputs at runtime. If the Miro API changes or returns unexpected payload structures, the system fails loudly. This prevents corrupt data from silently breaking your visual boards, ensuring every item added to the canvas is perfectly structured.

Strict Validation for Miro Board Metadata

Running `list_board_items` or `get_board_details` returns structured JSON that your agent validates directly against strict Python models. You don't have to worry about missing fields or malformed strings crashing downstream pipelines. If a collaborator list returned by `list_board_members` lacks a required field, your agent catches the validation error instantly. This guarantees data correctness before your pipeline processes the visual assets.

Unified Toolset Configuration

Using `list_organizations` to check linked workspaces is simple with the unified toolset configuration. You import the unified `MCPToolset` from the library, point it to your Vinkius HTTP endpoint, and pass it directly to your `Agent` via the `toolsets` parameter. Avoid using the deprecated MCPServerHTTP class. The new unified toolset handles both Streamable HTTP and SSE transports, keeping your codebase clean while your agent interacts with Miro workspaces.

Setup guide

Set up Miro MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "miro-alternative-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Miro tools.",
)

result = await agent.run("List recent Miro transactions")
print(result.output)

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Common questions about Miro MCP in Pydantic AI

Initialize the connection using `MCPToolset` with your Vinkius HTTP URL. Pass this toolset into the `Agent` constructor to expose tools like `create_board` under strict runtime validation.

The framework will raise a validation error immediately. This prevents your agent from operating on malformed canvas data or corrupting your board layouts with bad coordinates.

Yes. Your agent can call `list_boards` to find inactive workspaces, verify their details, and safely run `delete_board` once validation checks pass.

Yes, the unified toolset class supports both Streamable HTTP and SSE protocols. It connects seamlessly to the externally hosted Vinkius endpoint.

All collaborator emails, organization IDs from `list_organizations`, and board access permissions are processed entirely in memory. They are transmitted directly to Miro's servers via HTTPS, bypassing persistent storage on Vinkius completely.

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