Connect your AI tools to Edbound using the
Model Context Protocol (MCP), an open standard that lets AI assistants interact with your Edbound account.
What is MCP?
The Model Context Protocol (MCP) is an open standard that defines how AI assistants connect to external tools and data.
Instead of every AI tool needing a custom integration with every app, MCP gives them a shared way to talk. Any MCP-compatible AI tool — like Claude, Cursor, or VS Code — can connect to any MCP server and use the tools that server makes available.
What is Edbound MCP?
Why use Edbound MCP?
- Simple setup — Generate an MCP key from Settings > Integrations and connect in minutes
- Scoped access — Toggle individual tools on or off per key, so each AI agent gets only the access it needs
- account-wide reach — AI tools can read and write across users, courses, bundles, live sessions, and more
- Built for AI agents — Optimized tool definitions and response formats designed for how LLMs actually work
What can you do with Edbound MCP?
- Manage learners — Look up user enrollments, course progress, and live session attendance from a chat prompt
- Run reports — Generate course completion summaries, bundle performance reports, and engagement breakdowns from your AI assistant
- Update account data — Create users, enroll learners in courses or bundles, and update course details without leaving your AI tool
- Automate operational work — Generate password reset URLs, auto-login links, and learner status updates on demand
- Build custom workflows — Combine Edbound tools with other MCP servers to power multi-system agents that span your stack