How to connect WaniKani to Claude Cowork

Cowork is Anthropic's AI agent for knowledge work. Think of it as Claude Code for everything else. It works autonomously with your computer, local files, and applications to accomplish complex tasks. This guide walks you through the easiest and most secure way to connect your WaniKani account to Cowork via Composio Connect, enabling it to show your upcoming WaniKani reviews today, list burned kanji from current level, update notes for troublesome vocabulary, and more such actions on your behalf without compromising your account security.

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WaniKani is a spaced-repetition platform for learning Japanese radicals, kanji, and vocabulary. It helps learners build long-term retention with structured lessons, reviews, and progress tracking.

16 Tools

Introduction

Cowork is Anthropic's AI agent for knowledge work. Think of it as Claude Code for everything else. It works autonomously with your computer, local files, and applications to accomplish complex tasks.

This guide walks you through the easiest and most secure way to connect your WaniKani account to Cowork via Composio Connect, enabling it to show your upcoming WaniKani reviews today, list burned kanji from current level, update notes for troublesome vocabulary, and more such actions on your behalf without compromising your account security.

Also integrate WaniKani with

OpenAI Agents SDKClaude Agent SDKClaude CodeCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAI

Connecting WaniKani to Claude Cowork

1. Open Customize

In Claude Desktop, click Customize in the left sidebar, then select Connectors and click the + icon at the top.

Claude Desktop connectors screen with Add custom connector selected

2. Add the Composio MCP server

Click Add custom connector and paste in the Composio MCP server URL:

bash
https://connect.composio.dev/mcp
Add custom connector dialog with Composio MCP server URL

3. Authorize in your browser

Click Connect. You'll be redirected to a browser window where you can authorize Composio to continue.

Composio authorization screen for Claude Cowork

4. Connect your WaniKani account

Back in Cowork, ask the agent to connect to WaniKani or give it any WaniKani-related task.

For example, ask Cowork to:

  • "Show your upcoming WaniKani reviews today"
  • "List burned kanji from current level"
  • "Update notes for troublesome vocabulary"

It will prompt you to authenticate and authorize access.

That's it. Composio's tools are now available in Cowork, and your WaniKani account is ready to use.

What is Claude Cowork?

Claude Cowork is Anthropic's agent for general knowledge work. It can use your computer, files, and connected applications to complete longer-running tasks across your work tools.

With Composio Connect, Cowork can securely access apps like WaniKani through MCP without you sharing account credentials directly with the agent.

What is the WaniKani MCP server, and what's possible with it?

The WaniKani MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your WaniKani account. It provides structured and secure access so your agent can perform WaniKani operations on your behalf.

TOOLS

Supported Tools

Every WaniKani action and event your agent gets out of the box.

Create Study Material

Create the sole study-material record for a subject, optionally with notes or meaning synonyms.

Get Assignments

Retrieve one assignment by ID, or list the connected user's assignments using progress, availability, level, subject, and update filters.

Get Level Progressions

Retrieve one level-progression record by ID, or list the user's level history with ID and update-time filters.

Get Resets

Retrieve one account-reset record by ID, or list account level-reset history.

Get Reviews

Retrieve one completed review by ID, or list completed reviews filtered by review IDs, subject IDs, or update time.

Get Review Statistics

Retrieve one per-subject review statistic by ID, or list answer totals, streaks, and accuracy using subject and percentage filters.

Get Spaced Repetition Systems

Retrieve one spaced-repetition system by ID, or list SRS definitions and their stage intervals.

Get Study Materials

Retrieve one study-material record by ID, or list the user's subject notes and meaning synonyms with subject and update filters.

Get Study Summary

Get lessons available now and review availability over the next 24 hours for the connected user.

Get Subjects

Retrieve one WaniKani subject by ID, or search radicals, kanji, vocabulary, and kana vocabulary by IDs, types, slugs, levels, visibility, or update time.

Get User

Get the connected user's identity, level, subscription status, vacation state, and application preferences.

Get Voice Actors

Retrieve one WaniKani pronunciation voice actor by ID, or list voice actors with ID and update-time filters.

Start Assignment

Irreversibly mark one unlocked lesson assignment as started and move it into reviews.

Submit Review

Irreversibly submit a completed review, changing assignment progress and review statistics.

Update Study Material

Update at least one note or meaning-synonym field on an existing study-material record without changing its subject.

Update User Preferences

Update one or more supported WaniKani lesson or review preferences.

FRAMEWORKS

How to build WaniKani MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use WaniKani MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use WaniKani MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use WaniKani MCP with Claude Code

Codex logo

Codex

Use WaniKani MCP with Codex

OpenClaw logo

OpenClaw

Use WaniKani MCP with OpenClaw

Hermes logo

Hermes

Use WaniKani MCP with Hermes

CLI logo

CLI

Use WaniKani MCP with CLI

Google ADK logo

Google ADK

Use WaniKani MCP with Google ADK

LangChain logo

LangChain

Use WaniKani MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use WaniKani MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use WaniKani MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use WaniKani MCP with LlamaIndex

CrewAI logo

CrewAI

Use WaniKani MCP with CrewAI

FAQ

Frequently asked questions

With a standalone WaniKani MCP server, the agents and LLMs can only access a fixed set of WaniKani tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from WaniKani and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. Claude Cowork fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right WaniKani tools.

Yes, absolutely. You can configure which WaniKani scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your WaniKani data and credentials are handled as safely as possible.

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Customer stories

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Karan skipped his own birthday party to fix our critical issue. It was 10pm and he diverted his Waymo to help us instead. This really sets the bar — it shows the commitment you need when users rely on your software.

Harsha Gaddipati
Harsha Gaddipati
Co-founder, Slashy

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

Abhi Arya
Abhi Arya
Co-founder, Opennote

We chose Composio over Pipedream because it delivered depth where it mattered — niche tools and tricky edge cases other platforms simply ignored. That gave us confidence to scale without compromising.

Nirman Dave
Nirman Dave
CEO, Zams

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

Ryan Yu
Ryan Yu
Founder, Extra Thursday

Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

Tomisin Jenrola
Tomisin Jenrola
Founder & CEO, SwarmZero

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Jerome Leclanche
Jerome Leclanche
Co-Founder, Ingram Technologies