# Review My eLearning

> Review My eLearning (RME) is a course review platform for eLearning teams. Upload a SCORM or HTML5 course, invite reviewers, and every comment lands on the exact screen the reviewer was looking at, as a tracked, assignable work item. It reviews courses from any authoring tool, including courses written by AI, and has a built-in MCP server so AI assistants can work with review data and publish courses for review.

This file follows the product brief the RME team keeps current (product.md). If anything here disagrees with reviewmyelearning.com, the site is right.

## What RME does

- Hosts and plays SCORM and HTML5 course packages: any course that runs in a browser. Reviewers open a link, go through the course as a learner would, and each comment is bound to the screen they were on.
- Comments carry a status (New, Pending, Complete, Declined), an assignee, tags, threaded discussions and file attachments, and export to a spreadsheet.
- A course page shows where a review stands: comments grouped by slide, status or day, colour-coded by status, filterable to one status in a click, with tabs for open, approved and not-yet-approved comments. Comments and replies posted since a person last opened a course are marked Unread. My Courses searches, sorts and filters by role across any number of courses.
- Purpose-built trackers for Storyline 360, 3 and 2, Captivate (Classic and current), Rise, Lectora, iSpring, Gomo, Essemble and SAP Enable Now.
- A universal tracker for everything else. RME analyses the course and builds a navigation bridge for that specific course, using AI where the structure isn't obvious: hand-coded HTML, something built in-house, output from a new tool, or a course written by an AI. Comments still track per screen.
- AI Reviewers (Beta) for accessibility, UX and design give a course a first pass. They assist a team's own reviewers and subject-matter experts; they do not replace them.

## AI assistants (MCP)

- RME has a built-in MCP server. Claude, ChatGPT, Lovable and other MCP-capable assistants connect with one address, `https://reviewmyelearning.com`: the user signs in to RME and approves access. There is no API key to copy.
- A connected assistant can read courses, comments and review analytics for the user's own organization, for example "show me all unresolved comments on the Sales Training course" or "who logs the most comments?".
- An assistant can build a course, push it into RME, and request an AI review, and the comments come back without anyone touching a zip file. Before building, an assistant should call the `rme_get_course_packaging_guide` tool to get RME's structural requirements, so every screen tracks exactly.
- An assistant can also share a course for review: it can return a shareable review link, or invite named reviewers by email, each of whom gets a personal link.
- An assistant can act on feedback: after fixing what a comment asks for, it can reply in the comment's thread and set the comment's status (New, Pending, Complete, Declined).
- Uploads are asynchronous: a course is usually live within a minute. Re-uploading a course under the same identifier adds a new review cycle instead of a duplicate.
- MCP access is included on every plan, including Basic.

## Other ways in and out

- Course Ingest API: one REST call publishes a course, arriving with its first review cycle already created.
- Zapier: sends comments, replies and completed reviews on to other apps.

## Plans

- Basic $29, Pro $59, Enterprise $129 per month; annual billing gets two months free.
- Every plan has every feature, including AI Reviewers (Beta) and API & MCP access. Plans differ only in courses (5, 20, unlimited) and uploaders; reviewers are unlimited on all plans.
- 14-day free trial, no credit card required.

## Docs

- [Connect an AI assistant (MCP)](https://reviewmyelearning.com/docs/mcp): setup for Claude, ChatGPT and other MCP clients, and what an assistant can do.
- [Course Ingest API](https://reviewmyelearning.com/docs/course-ingest-api): publish courses from a build pipeline, LMS or internal tool.
- [Features](https://reviewmyelearning.com/features)
- [Pricing](https://reviewmyelearning.com/pricing)
- [Knowledge base](https://kb.reviewmyelearning.com)
- [Blog](https://blog.reviewmyelearning.com)

## Contact

- support@reviewmyelearning.com
- [Support form](https://reviewmyelearning.com/support)