# Anki

> Use this tool when you need to automate flashcard creation and study material organization, and integrate AI models with Anki flashcard software to streamline learning and education workflows. It solves problems of manual flashcard management and provides programmatic access to create, search, and manage decks and notes. Through the AnkiConnect API, it accepts inputs like deck names and note content, and outputs generated flashcards and organized study materials.

Canonical page: https://skillsregistry.net/skills/ethangillani-anki  
JSON: https://api.skillsregistry.net/v1/skills/ethangillani-anki

## Description

Anki MCP Server enables AI models to interact directly with Anki flashcard software through the AnkiConnect API, providing tools to create, search, and manage decks and notes programmatically. Built with TypeScript and the Model Context Protocol SDK, it allows AI assistants like Claude to generate flashcards, list decks and models, and perform advanced note management tasks. Particularly useful for learners and educators seeking to automate flashcard creation and study material organization.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ethangillani-anki)
- **Repository:** <https://github.com/ethangillani/anki-mcp-server>

## 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": "ethangillani-anki"
    }
  }
}
```

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