DeepLearning.AI MCP Server (dlai-mcp)

A Model Context Protocol (MCP) server providing AI agents (Claude Desktop, Cursor, Antigravity, custom agent loops) with direct programmatic access to DeepLearning.AI Short Courses on learn.deeplearning.ai.

Designed for autonomous note-taking, code & lab extraction, and instant course research.

Features

• 📚 Full Course Catalog Access: Browse 100+ DeepLearning.AI short courses with partners, topics, and duration.

• 📑 Complete Syllabi & Outlines: Query module hierarchies, lesson indices, durations, and lesson types.

• 🎙️ Timestamped Video Transcripts: Extract caption tracks with structured timestamp markers ([00:14]) for exact citation.

• 💻 Jupyter Lab & Code Extraction: Read .ipynb notebooks and code exercises rendered in clean Markdown.

• ⚡ Zero-Auth Direct API: High-speed public tRPC queries without browser overhead.

• 🔍 Offline SQLite Cache & FTS5 Search: Instant full-text search with BM25 ranking across all synced materials.

• 🔐 Interactive CLI Login: Simple one-time login command (dlai-mcp login) to authenticate your account.

Related MCP server: Coursera MCP

Installation

Using uv (Recommended)

# Clone the repository
git clone https://github.com/WilliamAxelC/deeplearning.ai-MCP-Server.git
cd deeplearning.ai-MCP-Server

# Create virtual environment and install
uv venv
source .venv/bin/activate
uv pip install -e .

Using pip

pip install -e .

Quickstart & CLI Commands

1. Interactive Authentication (Optional for Public Data, Required for Enrolled Labs)

dlai-mcp login

Opens a Chromium browser window for you to log into your DeepLearning.AI account.

2. Check Status & Local Cache Statistics

dlai-mcp status

3. Pre-fetch Course Transcripts for Offline Agent Access

# Sync a specific course by slug
dlai-mcp sync --course chatgpt-prompt-eng

# Or sync all courses
dlai-mcp sync --all

4. Search Indexed Course Transcripts via CLI

dlai-mcp search "temperature parameter"

5. Start the MCP Server

# Standard stdio mode (for Claude Desktop / Cursor / Antigravity)
dlai-mcp serve

# Or SSE / HTTP network mode
dlai-mcp serve --transport sse --port 8000

Configuring MCP Clients

Claude Desktop Configuration (claude_desktop_config.json)

{
  "mcpServers": {
    "deeplearning-ai": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/deeplearning.ai-MCP-Server",
        "run",
        "dlai-mcp",
        "serve"
      ]
    }
  }
}

Cursor / Antigravity Configuration

{
  "mcpServers": {
    "deeplearning-ai": {
      "command": "/path/to/deeplearning.ai-MCP-Server/.venv/bin/dlai-mcp",
      "args": ["serve"]
    }
  }
}

Available MCP Tools

Author

• William Axel C (@WilliamAxelC) - williamaxelcuangdinata@gmail.com

License

MIT