Livestorm MCP

Livestorm MCP (Model Context Protocol) is an integration layer that connects your Livestorm event data with AI tools and automated workflows. It uses Livestorm’s public API to expose structured, real-time information - such as events, sessions, users, attendees, and engagement metrics in a way that AI assistants can easily understand and act on.

With Livestorm MCP, your AI tools don’t just see your event data — they can also act on it.

Key MCP Use-Cases#

• Custom Registration Experiences: Create tailored sign-up journeys and register attendees individually or in bulk using your own forms.

• Sync Livestorm with CRM & Marketing Tools: Automatically push registration and engagement data into your CRM for follow-ups, nurturing flows, and lead scoring.

• Engagement Scoring & Lead Nurturing: Track who attended, how engaged they were, and segment high-value leads for targeted campaigns.

• Event Performance Analytics: Analyze trends like attendance rates, drop-offs, and chat activity without manual exports.

How to Use Livestorm MCP#

1. Select the Tool You Want to Connect#

Choose where your AI assistant or workflow engine lives (e.g., Claude, ChatGPT, Cursor).

2. Connect to the MCP Endpoint#

Use the Livestorm MCP URL (https://mcp.livestorm.co/mcp/livestorm-mcp) to link your AI system to your Livestorm workspace. You will also need to download Node.js: here. Once you select your chosen tool, you will be taken to this pop up page where you can follow the instructions:

3. Authenticate Securely#

Supply your Livestorm API token to ensure secure access. To use the Public API, it must be enabled on your workspace, you can contact support to have it activated. Make sure you have the right roles and permissions to generate an API key. If you don't see this option, reach out to your account admin. More information on our API here: Access Your Public API Panel

4. Go!#

Once authenticated, your AI assistant can retrieve data and perform actions in real time.

Best Practices#

• Always secure your API token and rotate it regularly.

• Define clear scope permissions so that automation tools only access what they need.

• Test automated actions in a staging environment before deploying to production.