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Sensei

AI That Remembers How to Teach You

Claude is smart enough to be a great mentor. It just doesn't know who it's talking to.

Sensei gives Claude memory about you — your skill level, what you've learned, and what you're building.

You: "How do I handle errors in useEffect?"

Claude: [Checks Sensei]
        → Knows you understand promises, are learning React hooks
        → Knows you're building a fintech app with Supabase

Claude: "Since you're comfortable with try/catch from your async work,
        the pattern in useEffect is similar. For your Supabase queries..."

No more "First, let me explain what useEffect is..." every single time.


Quick Start

1. Add to Claude Code

Add this to your Claude Code MCP settings (~/.claude/claude_desktop_config.json):

{
  "mcpServers": {
    "sensei": {
      "command": "npx",
      "args": ["-y", "@sensei-mcp/sensei"]
    }
  }
}

2. Add the System Prompt

Copy the contents of PROMPT.md into your Claude Project's custom instructions.

This tells Claude how to use Sensei effectively.

3. Start Learning

That's it. Claude now remembers who you are.


Related MCP server: MCP Project Context Server

What Sensei Tracks

Skills

Three levels. Simple.

Level

Meaning

unknown

Never discussed

learning

Covered basics, still developing

solid

Uses independently, understands well

Learning History

What Claude has taught you, so it can reference past explanations:

2025-01-14: explained "useEffect cleanup" (react-hooks)
2025-01-13: explained "async/await" (javascript)

Project Context

What you're building:

Project: fintech-app
Stack: React, TypeScript, Supabase
Notes: "REST API with row-level security"

Prerequisites

Before explaining X, Claude checks if you know the prerequisites:

useEffect requires:
├── react-hooks (concept of hooks)
├── closures (effects close over state)
└── side-effects (what effects are for)

Preferences

How you like explanations:

style: concise | detailed | example-heavy
languages: ["typescript", "python"]

Tools Reference

Tool

Purpose

sensei_get_context

Get everything: skills, history, project, preferences

sensei_get_skills

Get skill levels

sensei_set_skill

Update a skill level

sensei_log_learned

Record that a concept was taught

sensei_get_history

Get learning history

sensei_get_prerequisites

Check prerequisites for a concept

sensei_get_project

Get project context

sensei_set_project

Update project context

sensei_get_preferences

Get explanation preferences

sensei_set_preferences

Update preferences


Privacy

  • All local. Data stored in ~/.sensei/sensei.db

  • No cloud. No accounts. No telemetry.

  • Your data. Export or delete anytime.


Development

# Clone
git clone https://github.com/your-username/sensei
cd sensei

# Install
npm install

# Build
npm run build

# Run locally
node dist/index.js

Project Structure

sensei/
├── src/
│   ├── index.ts          # MCP server entry
│   ├── db/               # SQLite database layer
│   │   ├── init.ts       # Database initialization
│   │   ├── skills.ts     # Skills CRUD
│   │   ├── history.ts    # History CRUD
│   │   ├── project.ts    # Project context
│   │   └── preferences.ts
│   └── tools/            # MCP tool handlers
│       ├── index.ts      # Tool registration
│       ├── handlers.ts   # Tool implementations
│       └── prerequisites.ts
├── knowledge/
│   └── prerequisites.json  # Concept prerequisite graph
├── PROMPT.md             # System prompt for Claude
└── README.md

Contributing

The most valuable contributions are to the prerequisite graph.

# Edit knowledge/prerequisites.json
# Add your domain expertise

{
  "kubernetes-pods": ["docker", "containers", "yaml"],
  "graphql-resolvers": ["graphql-schema", "async-await"]
}

Why "Sensei"?

先生 (sensei) — "one who comes before"

A teacher who remembers where you've been and guides where you're going.


License

MIT


A
license - permissive license
-
quality - not tested
D
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

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MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/codebyellalesperance/sensei'

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