by samefarrar
Integrate Anki flashcards with AnkiConnect for natural language, spaced repetition learning in conversations. Easy acces
Connects Claude to Anki flashcards through AnkiConnect, letting you review cards and create flashcards through natural conversation.
AnkiConnect is a community-built MCP server published by samefarrar that provides AI assistants with tools and capabilities via the Model Context Protocol. Integrate Anki flashcards with AnkiConnect for natural language, spaced repetition learning in conversations. Easy acces It is categorized under productivity, developer tools.
You can install AnkiConnect in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
AnkiConnect is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
We wired AnkiConnect into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Useful MCP listing: AnkiConnect is the kind of server we cite when onboarding engineers to host + tool permissions.
AnkiConnect is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
AnkiConnect is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
AnkiConnect has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
According to our notes, AnkiConnect benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
AnkiConnect has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Strong directory entry: AnkiConnect surfaces stars and publisher context so we could sanity-check maintenance before adopting.
AnkiConnect reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
According to our notes, AnkiConnect benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
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Connect Claude conversations with AnkiConnect via MCP to make spaced repetition as easy as "Let's go through today's flashcards" or "Make flashcards for this"
The server implements three tools:
num_cards_due_today: Get the number of cards due today
deck argument to filter by specific deckget_due_cards: Get cards that are due for review
limit argument (default: 5) to control number of cardsdeck argument to filter by specific decktoday_only argument (default: true) to show only today's cardssubmit_reviews: Submit answers for reviewed cards
reviews with card_id and ratingdefaults write net.ankiweb.dtop NSAppSleepDisabled -bool true
defaults write net.ichi2.anki NSAppSleepDisabled -bool true
defaults write org.qt-project.Qt.QtWebEngineCore NSAppSleepDisabled -bool true
Install the AnkiConnect plugin in Anki:
2055492159Configure Claude Desktop:
On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
Add this configuration:
{
"mcpServers": {
"mcp-ankiconnect": {
"command": "uv",
"args": ["run", "--with", "mcp-ankiconnect", "mcp-ankiconnect"]
}
}
}
Restart Anki and Claude desktop
Since MCP servers run over stdio, debugging can be challenging. For the best debugging experience, we strongly recommend using the MCP Inspector. First, clone the repository and install the dependencies:
git clone https://github.com/samefarrar/mcp-ankiconnect.git
cd mcp-ankiconnect
uv sync
You can launch the MCP Inspector via the mcp CLI:
uv run mcp dev mcp_ankiconnect/server.py
Upon launching, the Inspector will display a URL you can access in your browser to begin debugging.
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.