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Slate MCP Connector

The Slate MCP Connector lets AI assistants interact directly with your Slate account through the Model Context Protocol (MCP). Generate courses, run review cycles, track engagement, and organize your library, all through natural conversation.

Your AI talks to ours.

With 30+ tools available, the MCP Connector goes beyond content generation into full content management:

  • Create courses - generate complete eLearning courses from a prompt, with sections, lessons, and blocks
  • Preview outlines - see the course structure before committing credits
  • Manage your library - list, search, tag, and organize courses
  • Run reviews - open review sessions, summarize feedback, and generate checklists
  • Share & track - create tracked links and view engagement analytics
  • Cross-app workflows - extract course content for presentations with tools like Canva MCP

The MCP Connector works with any AI client that supports the Model Context Protocol:

ClientStatus
Claude DesktopAvailable
Claude on the webAvailable
Claude CodeAvailable
ChatGPTIn development
Gemini CLIIn development

The tools available depend on your Slate plan:

  • Standard - 10 tools for course creation, previews, and basic management
  • Pro - All 30+ tools including reviews, analytics, tagging, and cross-app integrations

See Usage & Limits for the full breakdown.

  1. Connect your AI assistant - add Slate’s MCP server to your preferred client. One-time setup takes about 2 minutes.
  2. Authenticate with Slate - when your assistant first connects, you’ll authorize it through Slate’s secure OAuth flow.
  3. Start building - generate course drafts, preview outlines, manage content, and share your work through natural conversation.

The MCP Connector is built with security as a priority:

  • Secure authentication - industry-standard OAuth ensures only you can access your account
  • Row-level security - database policies ensure you can only access your own data
  • No PII exposure - analytics return only aggregate metrics like completion rates and viewer counts
  • Rate limiting - built-in protection against abuse with per-user limits

Learn more about the OAuth flow or see Usage & Limits for rate limit details.