Jisho MCP
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
} |
| logging | {} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| extensions | {
"io.modelcontextprotocol/ui": {}
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| search_wordsA | Search Jisho.org for words matching a keyword. Supports all Jisho search filters, e.g. |
| get_wordA | Look up a single word by its exact Jisho slug. Returns |
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 2 tools
The two tools have distinct purposes: search_words is for flexible keyword/filtered searches, while get_word is for exact slug lookup. They overlap slightly since get_word performs a search internally, but the descriptions clearly differentiate them and guide users to the appropriate tool.
Both tool names follow a consistent verb_noun pattern: search_words and get_word. The verbs are clear and the pattern is predictable, making it easy to infer tool behavior from the name.
With only two tools, the server feels slightly thin for a language dictionary service, though it covers the core search and exact-lookup needs. The count is borderline appropriate for a focused Jisho wrapper but leaves little room for other operations.
The server covers the primary lookup workflows: searching with filters and retrieving a specific word by slug. It lacks dedicated tools for related features like kanji details or example sentences, but most dictionary needs are met through the search functionality.