How to Use the Truto Unified Calendar MCP in Pydantic AI

Q: What details can I get using Truto Unified Calendar with Pydantic AI?

You use getevent to grab everything: title, description, attendees, location, and recurrence rules. The response structure is fully validated by Pydantic, so your agent always knows what data fields it's working with.

Q: How do I ensure all event data is standardized using Truto Unified Calendar with Pydantic AI?

The listevents tool handles this. It pulls titles, times, and attendee lists for a given calendar ID and formats them into one consistent schema that your agent expects.

Q: Where do I start if I need to check multiple accounts using Truto Unified Calendar with Pydantic AI?

First, use listconnections to see what's available. Then, you can use getfreebusy, passing the necessary IDs and time ranges, knowing that every piece of returned data is type-checked.

Q: Is it safe for my agent to update events using Truto Unified Calendar with Pydantic AI?

Yes. You use updateevent by providing the ID and a JSON object. Because your setup uses Pydantic, any unexpected field or malformed data will fail loudly before impacting the live service.

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Connect Truto Unified Calendar MCP to Pydantic AI

Create your Vinkius account to connect Truto Unified Calendar 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 Truto Unified Calendar with Pydantic AI

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Scheduling with the MCP Server

The `create_event` tool lets you book an event. You provide a calendar ID, title, and ISO times; Truto handles writing that record to Google or Outlook in real time. If something changes, use `update_event`. Provide the event ID and a JSON object with field updates. Since your agent relies on type-safety, Pydantic validates this change before it hits the provider.

Checking availability with MCP Server

To see if anyone's free, call `get_free_busy`. You pass a calendar ID and time range. The tool returns structured blocks of free/busy data that Pydantic validates against your expected schema. This ensures that even complex scheduling logic built by your agent is working with correctly formatted availability times.

Listing all calendars for correctness

The `list_calendars` tool provides a unified view of every connected calendar ID via Truto's API. This list is critical for making sure your agent targets the right account. Want to confirm access? Run `validate_connection`. It checks credentials and permissions, giving you explicit status reports that prevent silent failures.

Setup guide

Set up Truto Unified Calendar 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": {
        "truto-unified-calendar-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent Truto Unified Calendar transactions")
print(result.output)

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Common questions about Truto Unified Calendar MCP in Pydantic AI

You use `get_event` to grab everything: title, description, attendees, location, and recurrence rules. The response structure is fully validated by Pydantic, so your agent always knows what data fields it's working with.

The `list_events` tool handles this. It pulls titles, times, and attendee lists for a given calendar ID and formats them into one consistent schema that your agent expects.

First, use `list_connections` to see what's available. Then, you can use `get_free_busy`, passing the necessary IDs and time ranges, knowing that every piece of returned data is type-checked.

Yes. You use `update_event` by providing the ID and a JSON object. Because your setup uses Pydantic, any unexpected field or malformed data will fail loudly before impacting the live service.

This MCP Server touches connection credentials, calendar metadata, and event scheduling details (including titles, dates, attendees, and locations).

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