rember-mcpThis server connects your AI chat assistant to the Rember app to read conversations, PDFs, and pasted text. It automatically turns that material into study flashcards and schedules them for long-term

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Reviewed by Daniel Nikulshyn·Updated July 2026

Overview

The rember-mcp server connects AI chat assistants to the Rember app, enabling the creation of study flashcards from conversations, PDFs, and pasted text. It utilizes the Model Context Protocol (MCP) for Rember, allowing users to schedule spaced repetition reviews for better retention. This tool is designed for individuals who want to study and remember various information by leveraging AI-driven flashcard creation. The server can be run using npx with a Rember API key. It integrates with Claude Desktop and provides features like creating flashcards from chat notes or PDFs. The tool aims to streamline the process of turning chat content into study materials.

Key features

Create flashcards from chats
Create flashcards from PDFs
Integrate with Claude Desktop
Use Rember API for flashcard generation
Scheduled spaced repetition reviews

Pricing

Model: Free
Category: MCP Servers
Rating: No reviews yet

Use cases

Studying from Chat Conversations

Users can ask their AI chat assistant to 'help me remember this' or 'create a few flashcards' based on their conversation, and the rember-mcp server will create flashcards for spaced repetition reviews.

Creating Flashcards from PDFs

Users can instruct the AI to 'create flashcards from chapter 2 of this PDF,' and the server will process the PDF content to generate relevant flashcards.

Pros & Cons

Pros

Automates flashcard creation from chat content and PDFs
Integrates with Rember for spaced repetition reviews
Supports use with Claude Desktop for seamless integration

Cons

Requires a Rember API key for access
Limited information on customization options and scalability

Reviews

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Q&A

Are there any usage limits or customization options?

The main requirement is a valid Rember API key; the documentation does not detail rate limits or customization settings, so scalability and deep customization may be limited.

Asked by Miriam Cohen · Dec 31, 2025

What source material can be turned into flashcards?

The server can create flashcards from three sources: chat conversations with Claude, pasted text, and PDF documents (e.g., whole PDFs or specific chapters). Each note is sent to the Rember API, which returns a set of AI‑generated flashcards.

Asked by Sven Bergqvist · Dec 14, 2025

Which AI tools can I integrate rember‑mcp with?

rember‑mcp integrates directly with Claude Desktop by adding a server entry to `claude_desktop_config.json`. Once configured, Claude can call the `create_flashcards` tool to generate flashcards from chat notes.

Asked by Xavier Costa · Oct 10, 2025

How do I set up the rember‑mcp server with my AI chat assistant?

Run the server via npx using your Rember API key: `npx y @getremer/mcp api key=YOUR_REMBER_API_KEY`. Replace the placeholder with the key found on your Rember Settings page (format rember_ followed by 32 characters).

Asked by Sami Virtanen · Oct 7, 2025