# JLPT Study MCP Server

> JLPT Study MCP Server — neuraldarsh-jlpt-mcp-server. Use this tool when you need to integrate your Japanese study materials with a desktop application, connecting to personal data such as Anki due cards and study session logs to enhance language learning with features like card retrieval and interactive quizzes. It solves problems of disorganized study materials and limited interactive practice, providing inputs like due cards and study logs and outputs like tracked streaks and quiz results. Use it when studying Japanese to streamline your learning process and make the most of your study sessions.

Canonical page: https://skillsregistry.net/skills/neuraldarsh-jlpt-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/neuraldarsh-jlpt-mcp-server

## Description

Connects Claude Desktop to personal Japanese study data, including Anki due cards and a study session log, enabling card retrieval, session logging, streak tracking, and interactive quizzes.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rwbyj5ues9)
- **Repository:** <https://github.com/NeuralDarsh/jlpt-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "neuraldarsh-jlpt-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/neuraldarsh-jlpt-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/neuraldarsh-jlpt-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt