anki-mcp-server: A Model Context Protocol server that enables AI assistants to interact with Anki, the spaced repetition

by ankimcp · MCP Server · ★ 513

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install anki-mcp-server

npm install -g @ankimcp/anki-mcp-server
npx @ankimcp/anki-mcp-server

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 79/100

Flagged: opens a tunnel service. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

aiai-learning-toolai-tutorankianki-addonanki-flashcards

Quick Facts

Stars513
Forks38
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score79/100
Open Issues2
Last Updated2026-10-11
Created2025-09-29
Platformsmcp, node
Est. Tokens~21k

About anki-mcp-server

Anki MCP Server ⚠️ IMPORTANT: Project Renamed (v0.8.2+) This project has been renamed and moved: - Package: → - Commands: → or - Repository: → The old package continues to be published for backward compatibility but is deprecated. Please migrate to the new package.

Compatible Skills

These tools work well together with anki-mcp-server for enhanced workflows:

  • anki-mcp-server — semantic(0.74)+rare_topics+same_lang+similar_pop+shared_platform (59%)
  • siyuan — semantic(0.17)+complementary+rare_topics+same_lang+shared_platform (45%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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