Access JLPT-graded Japanese kanji, vocabulary, grammar, and history data through MCP or REST.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.
Inspect callable tools, capabilities, and parameters exposed to AI agents by Potto Japan.
The potto-japan MCP server provides access to an authoritative Japanese-language dataset organized around JLPT grading. Its stated coverage includes four areas: kanji, vocabulary, grammar, and history. This makes the service relevant to applications that need Japanese study or reference content with level-based classification.
The dataset is available through two interfaces: Model Context Protocol (MCP) and REST. MCP makes the data available to compatible AI-agent workflows, while REST provides an HTTP-oriented option for applications that do not use MCP. The supplied material does not describe the response schema, filtering syntax, authentication model, or individual endpoint names.
An MCP-compatible agent can use the potto-japan MCP server as a source for Japanese reference data. Applications that prefer conventional web requests can use the REST interface instead. In either case, the underlying subject matter is the same stated dataset: JLPT-graded information about kanji, vocabulary, grammar, and history.
The available description does not specify whether results are returned as individual records, grouped lessons, search results, or another format. It also does not document a particular JLPT range, update schedule, pagination model, or language of the returned content. Those details should be confirmed from the service documentation before implementation.
The documented capabilities are:
The material does not identify separate MCP tool names or REST routes, so implementations should not assume specific operation names from this listing alone.
The provided material does not include installation steps, launch commands, package names, authentication instructions, transport settings, or environment variables. It identifies the project’s developer site and states that the service is available via MCP and REST, but it does not explain how to configure either interface.
Before integrating the potto-japan MCP server, consult the project documentation for the appropriate connection details. In particular, verify the MCP transport, the REST base URL, any required credentials, and the request or tool schema.
The listing confirms the dataset’s subject areas and its MCP and REST delivery methods, but it does not provide operational details. Client compatibility, licensing, authentication requirements, rate limits, update frequency, and exact JLPT grading behavior are unspecified. The potto-japan MCP server should therefore be evaluated against those requirements before it is selected for production use.
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