# WaniKani MCP Server

> Use this tool when you need to integrate AI-powered Japanese language learning assistance into your application, providing personalized support to WaniKani users. It solves problems of limited access to user data and functionality, enabling AI agents to offer tailored guidance and feedback. The tool accepts user identifiers as input and outputs learning progress, difficult items, and other relevant data to inform AI-driven learning strategies.

Canonical page: https://skillsregistry.net/skills/jackedney-wanikani-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jackedney-wanikani-mcp

## Description

A bridge that provides AI assistants with access to WaniKani user data and functionality, enabling them to retrieve learning progress, identify difficult items, and offer personalized Japanese language learning assistance.

## Trust

- **Trust score (0–1):** 0.79
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gjp4reqqr2)
- **Repository:** <https://github.com/jackedney/wanikani-mcp>

## 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": "jackedney-wanikani-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jackedney-wanikani-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jackedney-wanikani-mcp/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