Anki addon that exposes your flashcard collection to AI assistants via a local MCP server.
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Anki MCP Server Addon is an MCP server that anki addon that exposes your flashcard collection to AI assistants via a local MCP server. Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 72/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients - only the file and path differ.
{
"mcpServers": {
"anki": {
"args": [
"mcp-remote",
"http://127.0.0.1:3141"
],
"command": "npx"
}
}
}Are you the author?
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Anki addon that exposes your flashcard collection to AI assistants via a local MCP server.
This server supports HTTP transport. Be the first to test it - help the community know if it works.
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Seamlessly integrate Anki with AI assistants through the Model Context Protocol
An Anki addon that exposes your collection to AI assistants via the Model Context Protocol (MCP).
AnkiMCP Server runs a local MCP server inside Anki, allowing AI assistants like Claude to interact with your flashcard collection. This enables AI-powered study sessions, card creation, and collection management.
Part of the ankimcp.ai project.
On first run, this addon downloads pydantic_core (~2MB) from PyPI. This is required because pydantic_core contains platform-specific binaries (Windows/macOS/Linux) that cannot be bundled in a single addon file.
A second native dependency, rpds (from rpds-py), is handled the same way — but it is almost never downloaded: Anki already ships rpds as a transitive dependency of its own jsonschema, so the addon just imports it. The download only kicks in on the rare install where that import fails. Both downloads are cached under Anki's own data folder (outside the addon's own folder, so it survives addon updates cleanly on every OS), falling back to the addon's _cache/ directory when that location isn't available — so either way they happen once, not on every launch. The old in-folder fallback cache is only ever removed once the outside-the-folder cache has proven itself usable (a successful load from it) and is never touched while a native module is still loaded from it — a failed first attempt (e.g. offline) leaves the old cache untouched rather than destroyed.
http://127.0.0.1:3141/ by defaultHost/Origin headers against a loopback allowlist by default; extend it for tunnel/reverse-proxy exposureAuthorization: Bearer token on the HTTP transport via http_api_key (AnkiConnect-style; empty = disabled)● AnkiMCP item in the top toolbar shows tunnel connection state at a glance (opt out via show_toolbar_indicator)log_to_file writes a rotating, secret-redacted log to user_files/ankimcp.log, with Open log folder / Copy diagnostics buttons in settingsget_deck_description / update_deck_description, so an AI can keep a per-deck authoring guide (purpose, note type, what goes on each side) inside Anki and consult it before adding cardsmodel_field_* tools (with an opt-in destructive model_field_remove)cards_stats tool returns compact per-card scheduling metrics (type/queue/interval/tags/dueToday) for a whole deck including subdecks, FSRS-independent — a lean bulk read for analyticsgui_deck_review opens a deck, gui_answer_card presses the answer button for you. [Op