How to Use the Livestorm MCP in Pydantic AI

Q: How do I load the Livestorm MCP Server in Pydantic AI?

Install pydantic-ai-slimmcp and initialize MCPToolset with your Vinkius HTTP endpoint. Pass this toolset into your Agent constructor to give your model access to all webinar tools.

Q: Can Pydantic AI manage Livestorm replay emails safely?

Yes, the agent invokes sendreplay to email attendees. The framework guarantees that the event IDs passed to this tool are formatted correctly before the API call is made.

Build type-safe webinar workflows with Pydantic AI and Livestorm to guarantee clean attendee data with zero silent errors.

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Connect Livestorm MCP to Pydantic AI

Create your Vinkius account to connect Livestorm 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 Livestorm with Pydantic AI

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Validate Livestorm Registrations with Pydantic AI

The `create_registration` tool ensures every attendee email and name strictly matches your Pydantic schemas before hitting the API. If an agent tries to send a malformed payload, Pydantic AI halts execution instantly to prevent database corruption. To keep your local state synchronized, the agent calls `get_registration` or `list_registrations` to fetch existing records. Every field returned by this MCP Server is validated against strict Python types, giving you absolute runtime guarantees.

Create and Track Events Without Schema Errors

The `create_event` tool creates webinars with strict validation on start times, end times, and event types. Pydantic AI checks these parameters before dispatching the request, ensuring your agent never schedules an event in the past. For managing existing schedules, the agent uses `get_event` or `list_events` to retrieve webinar metadata. This structured data maps directly to your custom Python models for safe downstream processing.

Parse Livestorm Analytics Safely Using Pydantic AI

The `list_analytics` tool delivers engagement metrics, replay views, and registration counts directly to your agent. Pydantic AI parses this data, throwing a clear validation error if the API format changes unexpectedly. When it is time to wrap up a webinar, the agent calls `list_attendees` to find actual participants and runs `send_replay` to email them. This ensures your post-event follow-ups are based on validated, typed data.

Setup guide

Set up Livestorm 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": {
        "livestorm-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

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Common questions about Livestorm MCP in Pydantic AI

Install `pydantic-ai-slim[mcp]` and initialize `MCPToolset` with your Vinkius HTTP endpoint. Pass this toolset into your `Agent` constructor to give your model access to all webinar tools.

Yes, every response from this MCP Server is parsed against strict Pydantic models. If the API returns unexpected field types, the framework raises a validation error immediately.

Yes, the agent invokes `send_replay` to email attendees. The framework guarantees that the event IDs passed to this tool are formatted correctly before the API call is made.

Yes, Pydantic AI is model-agnostic. You can connect this MCP toolset to local models, OpenAI, or Anthropic depending on your deployment requirements.

Your API key is injected as an environment variable and processed in an ephemeral V8 sandbox. Vinkius handles the authorization securely without storing your webinar data or attendee emails.

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