Flashcard MCP

Flashcard MCP

Enables users to create, review, and manage flashcards using the SM-2 spaced repetition algorithm for optimized learning. It supports organizing cards into projects and automatically handles review scheduling based on user performance.

Category
Visit Server

README

flashcard-mcp

An MCP server that gives Claude (or any MCP client) the ability to create, review, and manage flashcards with spaced repetition (SM-2 algorithm).

Organize cards into projects, tag them by topic, and let the scheduling algorithm figure out when you need to see each card again.

100% vibecoded.

Blog post

Read about how I use this MCP to learn math: Flashcards MCP

Installation

The server URL is:

https://flashcards.louisarge.com/api/mcp

It works out of the box — just add it as a remote MCP server in your client and sign in with Google when prompted.

Video tutorials

Tools

  • create_project / list_projects — organize cards into projects
  • read_memory / write_memory / edit_memory — persistent per-project notes and context
  • create_flashcard / edit_flashcard / list_flashcards / delete_flashcard — manage cards
  • get_due_flashcards — get cards that are due for review
  • review_flashcard — record how well you remembered (1-4), updates the schedule
  • get_flashcard_answer — reveal the answer after quizzing yourself

Self-hosting

The api/mcp.ts endpoint runs as a Vercel serverless function, backed by Upstash Redis.

Connect an Upstash Redis database via Vercel's Storage integration — it'll set up KV_REST_API_URL and KV_REST_API_TOKEN automatically.

Firebase setup

Authentication uses Firebase Google Sign-In. You'll need a Firebase project with Google auth enabled.

Server environment variables (set in Vercel):

  • FIREBASE_PROJECT_ID — Firebase project ID
  • FIREBASE_CLIENT_EMAIL — Firebase service account email
  • FIREBASE_PRIVATE_KEY — Firebase service account private key, PEM format

Client-side Firebase config lives in api/authorize.ts — update the firebase.initializeApp({...}) block with your own Firebase project credentials.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured