dlai-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| list_coursesA | List available Short Courses from DeepLearning.AI. Filter by keyword search query, partner organization (e.g. OpenAI, LangChain, Anthropic), or topic. |
| get_course_structureA | Retrieve the complete syllabus and lesson outline for a DeepLearning.AI course. Returns module hierarchy, lesson indices, slugs, durations, and lesson types (video, video_notebook, quiz). |
| get_lesson_transcriptA | Get the full timestamped transcript for a lesson in a DeepLearning.AI course. Pass either the lesson index (e.g. '1', '2') or the lesson slug (e.g. 'creating-an-app-with-ai'). |
| get_lesson_labA | Get the Jupyter Lab notebook and code for a lesson. Returns clean interleaved Markdown (explanations + code blocks) by default, or raw .ipynb JSON if raw_json=True. |
| search_course_contentA | Full-text search across indexed transcripts, lesson materials, and notebooks using SQLite FTS5 with BM25 ranking. Returns matched snippets, timestamp citations, and direct URLs. |
| sync_courseA | Pre-fetch and index all lesson transcripts and syllabus for a course into the local SQLite database. Enables instant offline search and note-taking. |
| get_auth_statusA | Check the current DeepLearning.AI authentication status and user account info. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 7 tools
Each tool has a clearly distinct purpose: course listing, course structure, lesson transcript, lesson lab, course-level search, sync/offline indexing, and auth status. There is no meaningful overlap or ambiguity among the tool names or their responsibilities.
Tools consistently use snake_case verb_noun naming: list_courses, get_ourse_structure, get_lesson_transcript, search_course_ontent, sync_course. The pattern is obvious and predictable for an agent routing to tools.
Seven tools fit the server's scope well: discovery, course inspection, lesson content retrieval, search, and sync. It feels complete without unnecessary bulk or missing core steps.
The main learning workflow is covered: find a course, get its structure, fetch lesson transcripts and labs, and search indexed content. Minor gaps exist, such as no direct quiz content fetch and only a limited auth status check, but these do not block the core set.