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 CrewAI 10 tools — connect in under 2 minutes

Name: Livestorm
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Livestorm through Vinkius, pass the Edge URL in the `mcps` parameter and every Livestorm tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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

from crewai import Agent, Task, Crew

agent = Agent(
    role="Livestorm Specialist",
    goal="Help users interact with Livestorm effectively",
    backstory=(
        "You are an expert at leveraging Livestorm tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Livestorm "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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60%Token savings

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<40msKill switch

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.

When paired with CrewAI, Livestorm becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Livestorm tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Livestorm MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Livestorm

Why Use CrewAI with the Livestorm MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Livestorm through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Livestorm + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Livestorm for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Livestorm, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Livestorm tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Livestorm against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Livestorm MCP Tools for CrewAI (10)

These 10 tools become available when you connect Livestorm to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Livestorm + CrewAI FAQ

Common questions about integrating Livestorm MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.