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ujisati/anki-mcp

by Various

the best anki mcp

U

MCP

ujisati/anki-mcp

Added 1 June 2026

Overview

An MCP (Model Context Protocol) server that connects AI assistants to Anki, enabling automated card creation and review. It uses Python to interface with Anki's local API, allowing agents to add, update, and query flashcards.

Best for

Best for
Developers building AI study tools that need to programmatically manage Anki flashcards

Use cases

  • Automatically generate Anki cards from study notes or transcripts
  • Query existing decks and cards for spaced repetition review
  • Integrate flashcard workflows into AI-powered study assistants

How to use

Install

uv run anki-mcp

Example client config

{\n    "mcpServers": {\n        "anki": {\n            "command": "uv",\n            "args": [\n                "run", \n                "anki-mcp"\n            ]\n        }\n    }\n}

Notes

An MCP (Model Context Protocol) server that connects AI assistants to Anki, enabling automated card creation and review. It uses Python to interface with Anki’s local API, allowing agents to add, update, and query flashcards.

6 stars on GitHub. Last updated 2025-05-16. Licensed MIT.

Use cases

  • Automatically generate Anki cards from study notes or transcripts
  • Query existing decks and cards for spaced repetition review
  • Integrate flashcard workflows into AI-powered study assistants

Pros

  • Simple setup with a single Python server
  • Direct integration with Anki’s local API for real-time sync
  • Lightweight and focused on a single, clear use case

Cons

  • Requires Anki desktop app running locally
  • Low community adoption (6 stars) may mean limited support
  • No built-in authentication or multi-user support

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Simple setup with a single Python server
  • Direct integration with Anki's local API for real-time sync
  • Lightweight and focused on a single, clear use case

Cons

  • Requires Anki desktop app running locally
  • Low community adoption (6 stars) may mean limited support
  • No built-in authentication or multi-user support
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