anki-mcp-server-addon
Provides an Anki add-on that runs a local Model Context Protocol (MCP) server inside Anki (via HTTP transport) so AI assistants can query and manage a user's Anki collection (e.g., decks, notes, cards, tags, media) and guide review sessions.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Likely primarily local access (127.0.0.1) but can be tunnel-exposed. README does not describe authentication/authorization, so security depends on network restrictions and CORS. Custom http_path and CORS origins can reduce accidental exposure, but there is no mention of protecting against direct requests to the MCP endpoint or enforcing per-client authorization.
⚡ Reliability
Best When
You want a local, MCP-compatible bridge between an AI assistant and a single user's Anki instance running on the same machine (or safely via a tunnel with restricted exposure).
Avoid When
You need fine-grained security/audit controls for remote access or you cannot restrict who can reach the local HTTP endpoint.
Use Cases
- • AI-assisted study/review workflows using an MCP client
- • AI-driven deck/note/card creation and management in Anki
- • Searching notes using Anki's query syntax
- • Automating common spaced-repetition operations (rate cards, reschedule, tag management)
- • Tunneling/inspecting the local MCP endpoint via tools like ngrok/Cloudflare (with optional custom path)
Not For
- • Use cases requiring strong remote multi-tenant access controls (this is primarily local/tunnel exposure)
- • Scenarios where users cannot trust a local service that can manipulate their Anki collection
- • Environments needing a public, internet-facing API with robust authentication built in
Interface
Authentication
README describes a local HTTP MCP server with host/port/path and CORS settings but does not mention authentication (API keys, OAuth, etc.). Access control is therefore likely determined by network exposure (localhost vs tunnel) and CORS.
Pricing
No pricing information provided; Anki add-ons are typically installed locally.
Agent Metadata
Known Gotchas
- ⚠ Operations can mutate or delete collection data; agents should be cautious with destructive tools (delete_notes, delete_media_file, forget/suspend/sync).
- ⚠ Disabled tools are removed from the MCP schema; typos in tool/action names produce console warnings (agents should validate tool names).
- ⚠ First run downloads pydantic_core (~2MB); agents/workflows that rely on cold-start should allow for this delay.
Alternatives
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Scores are editorial opinions as of 2026-03-30.