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Anki MCP Setup & Guide

MCP ServerMCP RegistryOfficial

ai.ankimcp/anki-mcp-server-addon · v0.32.0

Anki addon that exposes your flashcard collection to AI assistants via a local MCP server.

View on MCP Registry ↗Repository ↗

Copy the install config on this page first, then verify docs and permissions upstream.

Overview

Anki addon that exposes your flashcard collection to AI assistants via a local MCP server. AnkiMCP Server is a MCP Server listed from MCP Registry. This page includes an overview, setup tutorial, install commands, and use cases for Trae, Tongyi Lingma, Cursor, Claude Code, and VS Code.

AgentHub Verified AvailabilityTested & Ready

Automated pipeline validated install commands, protocol & client compatibility

Verified At2026-10-04
Install Snippets TestedCLI & JSON config syntax verified
Protocol Handshake ReadyComplies with JSON-RPC 2.0 specifications
Origin Registry ActiveSourced from official-mcp-registry
Verified ClientsClaude Code、Claude Desktop、Cursor 等
Security Tier: A+ 级 · 官方认证推荐 (A+)·Maintained by official/verified teams, audited for standard MCP protocol compliance.
No auto-generated install guide — see the source repository README.

Troubleshooting & Common ErrorsFAQ

Common connection errors and verified fixes for AnkiMCP Server

Getting 'connection closed' or exit code 1 in Cursor / Claude Code for AnkiMCP Server?

Usually caused by missing runtime paths or IDE environment inheritance. Fix steps: 1. Verify Node.js 18+ (npx) or Python 3.10+ (uvx) is installed; 2. Run 'which npx' or 'which uvx' in terminal, and replace 'command' with absolute path; 3. Reload or restart the client window after modifying config.

Fix Snippet
# Check binary path in terminal:
which npx
node -v
Getting 'spawn npx ENOENT' or 'command not found'?

The editor background process does not inherit your full terminal PATH. Solution: Globally install the package, or set the absolute binary path (e.g. C:\Program Files\nodejs\npx.cmd on Windows, or /usr/local/bin/npx on macOS).

Tool calls timing out or failing to download packages?

First-time package downloading might be slow or timeout due to network limits. Configure a reliable mirror or check outbound proxy settings.

Still not connecting? Read the MCP troubleshooting guide →

Tool Mock Playground

Sandbox

AnkiMCP Server Tool Interface Simulation · Preview tool schema & outputs without local runtime

Sandbox Ready
fn: anki_mcp_server_addonExecute the core tool interface of AnkiMCP Server
Request ArgumentsJSON Schema
{
  "target": "AnkiMCP Server",
  "action": "execute",
  "options": {
    "mode": "standard",
    "timeoutMs": 5000
  }
}
💡Parameters generated dynamically by Agent runtime
Agent Tool Output

Click 'Run Mock' above

to preview the raw response returned to the LLM

Env: AgentHub Virtual SandboxJSON-RPC 2.0

Decision Guide: Why & When to Use

Assess suitability before installing to save trial-and-error time

Best Suited For
  • When your AI Agent needs tool calling capabilities in this domain
  • Automating repetitive workflows in your IDE or terminal
  • Pairing with modern clients supporting MCP/Skill standards
When NOT to Use
  • When missing required API secrets or local runtime prerequisites
  • Pure conversational requests that don't need external system access
Recommended Workflow Pairing:

AnkiMCP Server + Scenario Prompt → Complete Agent Automation

MCP hands-on: install to visible results

Follow the full lab (expected UI/output + contrast checks). After installing this item, verify with the tutorial prompts.

Open tutorial →

Related resources

Often paired with

Keep exploring AgentHub

Most people compare similar tools or check scenario guides before installing—start here.

Browse more like thisSearch similarPick by scenarioPrompt playbooksMCP hands-onReviews & comparisons

Listing badge: put AgentHub on your site

Copy either snippet into your project homepage, docs, or GitHub README. The badge is a hotlinked SVG — nothing to host — and it links back to this page so visitors can find the install steps.

PreviewListed on AgentHub: AnkiMCP Server
HTML
<a href="https://myagenthub.cn/p/ai.ankimcp/anki-mcp-server-addon" title="Listed on AgentHub: AnkiMCP Server" target="_blank" rel="noopener">
  <img src="https://myagenthub.cn/badge/ai.ankimcp/anki-mcp-server-addon?lang=en" alt="Listed on AgentHub: AnkiMCP Server" height="20" style="border:0"/>
</a>
Markdown (GitHub README)
[![Listed on AgentHub: AnkiMCP Server](https://myagenthub.cn/badge/ai.ankimcp/anki-mcp-server-addon?lang=en)](https://myagenthub.cn/p/ai.ankimcp/anki-mcp-server-addon)

Badges are generated on the fly from /badge/<package-id>, so name and listing changes propagate automatically. Keep the link target unchanged — it is what counts as the referral.

Unified Manifest

{
  "id": "ai.ankimcp/anki-mcp-server-addon",
  "type": "mcp-server",
  "version": "0.32.0",
  "displayName": "AnkiMCP Server",
  "description": "Anki addon that exposes your flashcard collection to AI assistants via a local MCP server.",
  "repository": {
    "url": "https://github.com/ankimcp/anki-mcp-server-addon",
    "source": "github"
  },
  "homepage": "https://ankimcp.ai",
  "distribution": {
    "packages": [],
    "remotes": []
  },
  "dependencies": [],
  "installTargets": [
    "claude-code",
    "claude-desktop",
    "cursor",
    "vscode",
    "trae",
    "cherry-studio",
    "lingma",
    "windsurf",
    "cline",
    "workbuddy"
  ],
  "keywords": [],
  "provenance": {
    "origin": "official-mcp-registry",
    "originalId": "ai.ankimcp/anki-mcp-server-addon",
    "originalUrl": "https://registry.modelcontextprotocol.io/v0.1/servers/ai.ankimcp%2Fanki-mcp-server-addon/versions/latest",
    "isOfficial": true,
    "status": "active"
  }
}