# FlashLearn

> FlashLearn — maskwasam-flashlearn. Use this tool when you need to efficiently learn and memorize new information using spaced repetition. FlashLearn solves the problem of knowledge retention by enabling AI clients to create digital flashcard decks, manage cards, and track study progress. It accepts inputs such as deck creations, card additions, and study sessions, and outputs tracked progress and optimized study schedules.

Canonical page: https://skillsregistry.net/skills/maskwasam-flashlearn  
JSON: https://api.skillsregistry.net/v1/skills/maskwasam-flashlearn

## Description

Local Leitner flashcard MCP server enabling AI clients to create decks, manage cards, study with spaced repetition, and track progress.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vrpvtudjmw)
- **Repository:** <https://github.com/MaskwaSam/flashlearn>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "maskwasam-flashlearn"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/maskwasam-flashlearn` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/maskwasam-flashlearn/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt