Yomitan MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| lookupC | Yomitanの辞書でterm/wordを検索し、定義・読み・タグ等を返す |
| kanjiC | 漢字の詳細情報（読み、画数、意味等）を検索する |
| tokenizeB | テキストを形態素解析し、読みと辞書エントリに分割する |
| anki_fieldsB | テキストからAnkiカード用のフィールドデータを生成する |
| statusB | Yomitan APIの接続状態とバージョンを確認する |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 5 tools
Each tool has a clearly distinct purpose with no overlap: anki_fields generates Anki card data, kanji provides kanji details, lookup searches dictionary terms, status checks API status, and tokenize performs morphological analysis. The descriptions clearly differentiate their functions, eliminating any ambiguity.
All tool names follow a consistent snake_case pattern with clear, descriptive nouns (e.g., anki_fields, kanji, lookup, status, tokenize). There are no deviations in naming style or verb usage, making the set predictable and easy to understand.
With 5 tools, the server is well-scoped for its Japanese language learning and dictionary domain. Each tool serves a specific, essential function (e.g., dictionary lookup, kanji info, text processing, API status), and none feel redundant or missing for the apparent purpose.
The tool set covers core functionalities well: dictionary lookup (lookup), kanji details (kanji), text processing (tokenize, anki_fields), and system status (status). A minor gap might be the lack of tools for managing user data or saved entries, but the existing tools support key workflows without dead ends.