Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Concept Trackershow me all React concepts I've discussed recently"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Concept Tracker
An MCP (Model Context Protocol) server that automatically extracts technical concepts from your AI coding conversations, organizes them into a searchable knowledge base, and links them to your actual codebase.
Overview
When working with AI coding assistants, you discuss countless technical concepts — libraries, design patterns, language features, architectural decisions. These valuable learning moments get buried in chat history and forgotten.
Concept Tracker captures this knowledge automatically. It hooks into your conversations in real-time, extracts technical concepts, and builds a per-project knowledge base that shows you:
What concepts you've learned and discussed
Why they matter (with explanations)
Where they appear in your code
Features
Multi-IDE Support
Claude Code: Native hook integration for automatic extraction
Cursor: Full hook support with stop event handling
Continue.dev: Webhook-based integration
Universal VS Code extension works across all AI tools
Real-Time Concept Extraction
Hooks into AI coding conversations as they happen
LLM-powered extraction identifies technical concepts automatically
Captures original chat context for future reference
Smart Organization
Hierarchy: Concepts organized in parent-child relationships (e.g., "useState" under "React Hooks")
Categories: Language features, libraries/frameworks, design patterns, architectural decisions
Deduplication: Exact name matching prevents duplicate entries
Codebase Linking
Real-time scanning on file save
Finds where each concept appears in your project
Direct links to specific file locations
Dual Dashboard
IDE Panel: Quick access without leaving your editor
Web App: Full-featured dashboard for deeper exploration
Knowledge Management
Edit concept names and explanations
Merge similar concepts
Manual concept addition
Export to JSON or Markdown
Notifications when new concepts are extracted
Concept Structure
Each concept contains:
{
"id": "uuid",
"name": "useState",
"category": "library",
"parent": "React Hooks",
"explanation": "A React Hook that lets you add state to functional components...",
"chatSnippets": [
{
"timestamp": "2025-01-15T10:30:00Z",
"content": "useState returns a pair: the current state value and a function to update it..."
}
],
"codeLocations": [
"src/components/Counter.tsx:12",
"src/hooks/useAuth.ts:8"
],
"firstSeen": "2025-01-15T10:30:00Z",
"lastSeen": "2025-01-20T14:22:00Z"
}Architecture
┌─────────────────────────────────────────────────────────────────┐
│ Claude Code │
│ │ │
│ (hooks API) │
│ ▼ │
│ ┌─────────────────────────────────────────────────────────┐ │
│ │ Concept Tracker MCP │ │
│ │ ┌───────────────┐ ┌───────────────┐ ┌─────────────┐ │ │
│ │ │ Extractor │ │ Hierarchy │ │ Scanner │ │ │
│ │ │ (LLM) │ │ Manager │ │ (Codebase) │ │ │
│ │ └───────────────┘ └───────────────┘ └─────────────┘ │ │
│ │ │ │ │
│ │ ┌──────▼──────┐ │ │
│ │ │ Storage │ │ │
│ │ │ (Local) │ │ │
│ │ └─────────────┘ │ │
│ └─────────────────────────────────────────────────────────┘ │
│ │ │
│ ┌─────────────┴─────────────┐ │
│ ▼ ▼ │
│ ┌─────────────────┐ ┌─────────────────┐ │
│ │ IDE Panel │ │ Web App │ │
│ │ (VS Code) │ │ (localhost) │ │
│ └─────────────────┘ └─────────────────┘ │
└─────────────────────────────────────────────────────────────────┘Concept Categories
Category | Examples |
Language Features | async/await, generics, decorators, pattern matching |
Libraries & Frameworks | React hooks, Express middleware, Prisma models |
Design Patterns | Dependency injection, observer pattern, factory pattern |
Architecture | Microservices, event sourcing, CQRS, hexagonal architecture |
Roadmap
Phase 1: MVP
Project setup
Basic concept extraction (DeepSeek API)
Local JSON storage
Simple web dashboard
Claude Code hook integration (auto-extract on conversation)
Phase 2: Enhanced Features
Hierarchy management UI
Real-time codebase scanning
VS Code panel integration
Concept merge/edit functionality
Export capabilities
Phase 3: Multi-IDE Support (Current)
Cursor integration
Continue.dev integration
Universal VS Code extension (works with any AI tool)
Unified configuration system
IDE adapter abstraction layer
Tech Stack
MCP Server: TypeScript
Storage: Local JSON/SQLite
Web Dashboard: React + Vite
IDE Panel: VS Code Webview API
Code Scanning: Tree-sitter / ripgrep
Getting Started
Prerequisites
Node.js 18+
npm 9+
DeepSeek API key (for concept extraction)
Installation
# Clone and enter the project
cd concept-tracker
# Install all dependencies
npm install
# Create your .env file
cp .env.example .env
# Edit .env and add your DEEPSEEK_API_KEY
# Build the MCP server
npm run build
# Run the universal installer (detects and configures all IDEs)
./scripts/install.sh
# Start the servers
npm run dev:api # API server (port 3001)
npm run dev # Dashboard (port 3000)IDE-Specific Installation
If you prefer to install hooks for specific IDEs:
# Claude Code only
./scripts/install-claude-hook.sh
# Cursor only
./scripts/install-cursor-hook.sh
# Continue.dev only
./scripts/install-continue-hook.shRunning the Dashboard
# Development mode with hot reload
npm run dev
# The dashboard will open at http://localhost:3000Building for Production
# Build both MCP server and dashboard
npm run buildConfiguration
Remote MCP Setup (Hosted Service)
If you're using a hosted version of Concept Tracker, add this to your Cursor MCP config (~/.cursor/mcp.json):
{
"mcpServers": {
"concept-tracker": {
"url": "https://your-deployed-url.railway.app/sse?token=YOUR_UNIQUE_TOKEN"
}
}
}Replace YOUR_UNIQUE_TOKEN with a unique identifier (8-64 alphanumeric characters or dashes). This token isolates your concepts from other users.
Claude Code MCP Setup
Add to your Claude Code MCP configuration (~/.claude.json or project .claude/settings.json):
{
"mcpServers": {
"concept-tracker": {
"command": "node",
"args": ["/path/to/concept-tracker/mcp-server/dist/index.js"],
"env": {
"DEEPSEEK_API_KEY": "your-api-key-here"
}
}
}
}Environment Variables
Variable | Description | Required |
| Your DeepSeek API key for concept extraction | Yes |
| Custom storage path (default: | No |
MCP Tools
The Concept Tracker MCP server provides these tools:
Tool | Description |
| Extract technical concepts from conversation text |
| List all concepts with optional category/search filters |
| Get detailed info about a specific concept |
| Manually add a new concept |
| Update a concept's name or explanation |
| Remove a concept from the knowledge base |
Deploying to Railway (Self-Hosting)
To host your own public Concept Tracker MCP:
1. Prerequisites
A Railway account
This repository pushed to GitHub
2. Deploy
# Install Railway CLI
npm install -g @railway/cli
# Login to Railway
railway login
# Initialize project in this directory
railway init
# Link to your project
railway link
# Set your DeepSeek API key
railway variables set DEEPSEEK_API_KEY=your-api-key-here
# Deploy
railway upOr use the Railway dashboard:
Create a new project
Connect your GitHub repo
Add environment variable:
DEEPSEEK_API_KEYRailway will auto-detect and deploy
3. Share with Users
Once deployed, share the URL with users. They'll configure Cursor like this:
{
"mcpServers": {
"concept-tracker": {
"url": "https://YOUR-APP.railway.app/sse?token=their-unique-token"
}
}
}Each user should create their own unique token for isolated concept storage.
License
MIT
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