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How to Use the Venue MCP in Pydantic AI

Ensure correct venue actions with Pydantic AI that manages booking calendars and contracts.

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Pydantic AI

Connect Venue MCP to Pydantic AI

Create your Vinkius account to connect Venue 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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Creating New Events on MCP Server

When you book a new meeting, the agent uses `create_event`. Because of Pydantic's validation, you know for sure the data structure is correct before it commits. It also handles the creation of talent via `create_speaker`, ensuring speaker records meet your required schema.

Listing All Events with Pydantic AI

Need to see everything? Calling `list_events` gives you a clean list of current and past meetings. The agent validates every field it receives. Similarly, `list_event_sessions` lists all topics for an event, ensuring the session titles are formatted correctly.

Getting Event Status via MCP Server

The tool `get_event_details` fetches specific booking data. If the API sends unexpected fields, your agent fails loud—you don't get bad data silently. You can also list attendees using `list_event_registrations`, guaranteeing the format of each name and email.

Setup guide

Set up Venue MCP in Pydantic AI

Prerequisites

  • Python 3.10+ installed
  • pydantic-ai-slim[fastmcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 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. 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": {
        "venue-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Venue. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Venue MCP in Pydantic AI

Use `list_events`. Your agent calls this function to get a validated, up-to-date list of all virtual events. The type safety means you trust the output completely.
You can use `list_speakers` to see who's already registered, and `create_speaker` to add new talent. All data returned validates against your defined schema.
Yes. The tool `get_event_analytics` pulls engagement metrics. Since Pydantic is running, you'll know exactly what data points are returned.
The `list_recordings` tool lets your agent pull a list of all recordings. This is perfect for ensuring archival material is correctly formatted and retrievable.
The server handles account information via `get_me`. It also manages event-specific details, including attendee lists and general booking contract information.

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