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  3. Anki
A
Health: ActiveRecent health check succeeded.Last checked 10/14/2026, 11:15:57 PM

Anki

InstallableWe know how to install it, but have not yet seen it complete a handshake. User RatingsBe the first to rate and review this MCP server!
View Repository40 GitHub StarsTotal stargazers on GitHub for the source repository (40 stars).
ankiflashcardsstudyanki-connectdeveloper-tools

Connects AI clients to Anki through AnkiConnect for studying, card editing, scheduling, analytics, audio, and synchronization.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "anki": {
      "command": "npx",
      "args": [
        "-y",
        "github:nietus/anki-mcp"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (29) Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Overview

Anki MCP server connects an MCP client to an active Anki installation through the AnkiConnect add-on. It exposes tools for study sessions, due-card and retention analysis, card and note editing, deck and note-type administration, tagging, media, audio generation, and AnkiWeb sync. Use it when an agent needs to inspect or modify an Anki collection, with previews and confirmation steps available for bulk or destructive operations. Azure Speech configuration is required for the audio tools, while Anki and AnkiConnect are required for the core features.

Use cases

β€’Run conversational study sessions from due cards
β€’Review retention and identify frequently missed cards
β€’Create and update flashcards in bulk
β€’Suspend tagged cards and restore them by label
β€’Generate audio and synchronize an Anki collection

Key features

β€’Study overview and due-card retrieval
β€’Review history, leech detection, and retention statistics
β€’Bulk note creation, editing, tagging, and search
β€’Card suspension, rescheduling, moving, and deletion
β€’Deck and note-type administration
β€’Azure Text-to-Speech audio generation

Capabilities & Tool Schemas (29) ~611 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server β€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Anki.

get_study_overview

Today's new/learning/review counts per deck, cards reviewed today, streak, 7/30-day totals.

get_due_cards

num` cards to study (optionally from one `deckName`), with the interval each button would give.

answer_cards

Record answers (`cardId`, `ease` 1-4) and get each card's new interval. *(Previously `update_cards`.)*

find_leeches

Weakest cards (leech tag / many lapses), ranked by lapses and ease.

get_card_history

Full review log of up to 20 cards.

get_retention_stats

True retention (young/mature), reviews per day and time spent for a deck over N days.

How Anki works

What the Anki MCP server does

The Anki MCP server lets an MCP-compatible client work with an Anki collection through AnkiConnect. It supports both study workflows and collection maintenance. An agent can inspect today's workload, retrieve cards due for review, record answers, examine review history, identify leeches, and calculate retention metrics for a deck over a selected period.

Collection-management tools cover card selection, scheduling, suspension, deck moves, note creation, field updates, tag operations, image insertion, and deletion. Bulk operations can target a deck, matching tags, an Anki search query, or explicit card and note IDs. Bulk writes can be previewed with a dry-run option, and note deletion uses a preview followed by a confirmation token.

How it works

The server communicates with Anki through the AnkiConnect add-on. Anki must be running for requests to reach the collection; connection errors are returned as readable tool results rather than being silently ignored. The default connection uses http://127.0.0.1 on port 8765, with an optional API key if AnkiConnect has been configured to require one.

Study interactions can be handled conversationally. The client can retrieve due cards, present questions, submit ease values from 1 through 4, and receive the resulting intervals. Named suspension labels add a paused::<label> tag, allowing a later unsuspend operation to restore that particular group without reactivating cards suspended for another reason.

Setup and configuration

Install Node.js 18 or newer, Anki, and the AnkiConnect add-on using code 2055492159. In Claude Code, the repository can be registered with npx -y github:nietus/anki-mcp. Other MCP clients can use a stdio configuration that launches the same command. The project can also be cloned, installed with npm, built, and started from its generated build/client.js entry point.

The Anki MCP server has no mandatory environment variables. ANKI_CONNECT_HOST, ANKI_CONNECT_PORT, and ANKI_CONNECT_KEY adjust the AnkiConnect connection. Audio features additionally use AZURE_API_KEY; AZURE_REGION selects the Azure Speech region and defaults to eastus. Without the Azure key, the regular study and collection tools remain available, but audio generation is not enabled.

Tools and capabilities

  • Review study totals, streaks, due cards, retention, review history, and leeches.
  • Search cards with pagination and choose whether to return questions, answers, fields, or statistics.
  • Add individual, bulk, and cloze notes while reporting skipped duplicates or invalid entries.
  • Move, reschedule, suspend, unsuspend, edit, tag, and delete cards or notes.
  • Create decks and note types, inspect models, change fields, and replace templates or CSS.
  • Add images from URLs, local paths, or base64 data.
  • Generate audio for new or existing notes through Azure Text-to-Speech, including bulk generation with a per-call limit.
  • Undo the most recent Anki action and synchronize with AnkiWeb.

Limitations and notes

The server depends on Anki and AnkiConnect being available locally or at the configured host and port. Audio generation is a separate capability that depends on Azure credentials. Before adding cards, inspect the destination deck's model information so the note type and fields match the intended content. Scheduling changes, bulk edits, and deletion affect the connected collection, so previews, labels, and the deletion confirmation step should be used where appropriate.

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
40
Stargazers on the source repository.
Last commit
9d ago
Most recent push to the default branch.
Tools exposed
29
Callable tools this server registers over MCP.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about Anki

Anki is an MCP server that connects AI clients to an Anki collection through AnkiConnect. Its main tools cover study overviews, due cards, answer recording, review history, retention statistics, leech detection, card and note editing, deck management, tagging, media, audio generation, and AnkiWeb synchronization.

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
LicenseMIT
ClientsClaude Desktop, Claude Code, Cursor
Last updatedOct 14, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars40
GitHub Star CountTotal stargazers on GitHub representing community popularity (40 stars).
Last commit9d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Oct 5, 2026
56Quality signal: Good Β· 56/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools25/30
Adoption & activity7/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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