How do I get my Livestorm API Token?

Log in to [Livestorm](https://app.livestorm.co), go to **Settings** → **Integrations** → **API**, and copy your API Token. API access may require a paid plan.

What's the difference between registrations and attendees?

Registrations are people who signed up for the webinar. Attendees are those who actually joined and attended the event. An attendee is always a registrant, but not all registrants become attendees.

Can I create a new webinar through the AI integration?

Yes, use the create_event action with at least a title. You can optionally provide a description, start/end times, and event type (live, replay, or on-demand).

How do I send replays to attendees?

Use the send_replay action with the webinar ID. This will automatically email the replay link to everyone who attended the completed event.

Livestorm MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Livestorm
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Livestorm through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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 Livestorm "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Livestorm?"
    )
    print(result.data)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Livestorm MCP Server

Integrate Livestorm, the leading browser-based webinar and video events platform, directly into your AI workflow. Manage webinar schedules, track registrations, monitor attendee engagement, access real-time analytics, and send replay emails — all through conversational AI.

Pydantic AI validates every Livestorm tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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

Webinar Management — List, create, and retrieve all your webinars with scheduling and status information
Registration Tracking — View all registrations for any webinar, create new attendee registrations, and verify individual registration details
Attendee Monitoring — List attendees who actually joined events, track attendance duration and engagement metrics
Analytics & Reporting — Access post-event analytics including registration counts, attendance rates, and replay views
Replay Distribution — Send replay email links to all attendees of completed events with one action
Room Management — List all webinar rooms in your Livestorm workspace for infrastructure planning

The Livestorm MCP Server exposes 10 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.

How to Connect Livestorm to Pydantic AI via MCP

Follow these steps to integrate the Livestorm MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Livestorm with type-safe schemas

Why Use Pydantic AI with the Livestorm MCP Server

Pydantic AI provides unique advantages when paired with Livestorm 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 Livestorm integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Livestorm connection logic from agent behavior for testable, maintainable code

Livestorm + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Livestorm MCP Server delivers measurable value.

Type-safe data pipelines: query Livestorm with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Livestorm tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Livestorm and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Livestorm responses and write comprehensive agent tests

Livestorm MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Livestorm to Pydantic AI via MCP:

create_event

Provide at minimum the event title. Optionally specify description, start/end times, and event type (live, replay, or on-demand). Create a new webinar or event in Livestorm

create_registration

Creates a new registration record for the specified webinar. The registration email must be unique for that webinar. Register a new attendee for a Livestorm webinar

get_event

Use list_events first to find the correct ID. Returns full event metadata including settings, registration page URL, and status. Retrieve detailed information for a specific Livestorm webinar or event

get_registration

Returns the full registration record for the specified attendee. Retrieve details for a specific registration of a Livestorm webinar

list_analytics

Returns registration counts, attendance rates, replay views, and engagement metrics. Useful for post-event reporting and ROI analysis. Retrieve analytics data for a specific Livestorm webinar

list_attendees

Returns only attendees who joined the event, not just registered attendees. Includes attendance duration and engagement data. Retrieve the list of attendees who actually attended a Livestorm webinar

list_events

Returns all events (live, replay, scheduled). Retrieve a list of all webinars and events in your Livestorm account

list_registrations

Returns attendee details including names, emails, and registration status. Useful for verifying attendance lists. Retrieve all registrations for a specific Livestorm webinar

list_webinar_rooms

Useful for understanding your Livestorm workspace structure. Retrieve a list of all rooms (webinar rooms) in your Livestorm workspace

send_replay

Sends the replay link to everyone who attended the specified event. Use after live events to share the recording with attendees. Send a replay email to all attendees of a completed Livestorm webinar

Example Prompts for Livestorm in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Livestorm immediately.

"Show me all upcoming webinars in my Livestorm account."

"How many people attended last week's webinar?"

"Create a new webinar called 'AI Trends 2026' for next month."

Troubleshooting Livestorm MCP Server with Pydantic AI

Common issues when connecting Livestorm to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Livestorm + Pydantic AI FAQ

Common questions about integrating Livestorm MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Livestorm MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.