Enables Large Language Models to interact with Anki flashcard software through AnkiConnect using the Model Context Protocol.
Enables Large Language Models to interact with Anki flashcard software through AnkiConnect using the Model Context Protocol.
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| Tool | What it does |
|---|---|
| anki_check_connection | Check whether AnkiConnect is reachable |
| anki_list_decks | List all available Anki decks, optionally with deck IDs |
| anki_create_deck | Create a new Anki deck |
| anki_list_tags | List all tags currently used in the collection |
| anki_add_note_tags | Add tags to one or more notes |
| anki_remove_note_tags | Remove tags from one or more notes |
| anki_create_note | Create a new note |
| anki_batch_create_notes | Create multiple notes at once |
| anki_search_notes | Search for notes using Anki query syntax |
| anki_get_note_info | Get detailed information about a note |
| anki_update_note | Update an existing note's fields and/or tags |
| anki_delete_note | Delete one or multiple notes |
| anki_list_note_types | List all available note types |
| anki_create_note_type | Create a new note type |
Demonstrates building an AI agent using the Model Context Protocol (MCP) with open LLMs like Meta Llama 3, OpenAI, or Google Gemini, and a SQLite
Manages courses, assignments, enrollments, and grades within Canvas using the Canvas API.
Manage educational context based on courses, assignments, and exams using a knowledge graph.
Source profile for Acornonaut. Its purpose and connection details need verification against the maintainer’s documentation.
Model Context Procotol (MCP) server with tools for Cannabis Datasets.
A model context protocol server that connects to Anki through AnkiConnect