Khan Academy MCP Server
Enables AI assistants to search, browse, and read Khan Academy's educational content, including courses, articles, and video transcripts. It provides tools to navigate the subject hierarchy and retrieve detailed metadata without requiring an API key.
README
<p align="center"> <img src="assets/khan-logo.png" alt="Khan Academy" width="400"> </p>
Khan Academy MCP Server
An open-source Model Context Protocol (MCP) server that lets AI assistants search, browse, and read Khan Academy's educational content. No API key required.
Quick Start
npx khanacademy-mcp
Or install globally:
npm install -g khanacademy-mcp
khanacademy-mcp
Claude Desktop Configuration
Add this to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):
{
"mcpServers": {
"khanacademy": {
"command": "npx",
"args": ["-y", "khanacademy-mcp"]
}
}
}
Tools
| Tool | Description |
|---|---|
search |
Search Khan Academy for videos, articles, exercises, and courses |
list_subjects |
List all top-level subjects and popular courses |
get_topic_tree |
Browse the subject/topic hierarchy by slug with configurable depth |
get_content |
Get details about a specific content item (video, article, exercise) |
get_course |
Get full course structure with units, lessons, and content items |
get_transcript |
Get video transcripts (timestamped or full text) |
get_article |
Read the full text content of a Khan Academy article |
get_lesson |
Get all content items in a specific lesson |
embed_video |
Embed a video with thumbnail image, metadata, chapters, and optional transcript |
get_exercise |
Get exercise details with related study content (videos, articles) and practice URL |
get_quiz |
List all quizzes, unit tests, and course challenge for a course with prep material |
study_guide |
Build a structured study plan for any topic |
Tool Details
search
query: string — Search query (e.g., "photosynthesis", "quadratic formula")
limit?: number — Max results (1-30, default: 10)
list_subjects
No parameters. Returns all top-level subjects and popular courses.
get_topic_tree
slug: string — Topic slug (e.g., "math", "science/biology")
depth?: number — Levels to fetch (0-3, default: 1)
get_content
slug: string — Content slug or full URL
get_course
slug: string — Course slug or URL (e.g., "math/algebra")
get_transcript
slug: string — Video slug, KA URL, YouTube URL, or YouTube ID
language?: string — Language code (default: "en")
format?: string — "full", "timestamped", or "both" (default: "full")
get_article
slug: string — Article slug or full URL (articles have "/a/" in the path)
get_lesson
slug: string — Lesson slug or full URL
embed_video
slug: string — Video slug, KA URL, YouTube URL, or YouTube ID
include_transcript?: bool — Include the full transcript (default: false)
language?: string — Language code for transcript (default: "en")
get_exercise
slug: string — Exercise slug or full URL (exercises have "/e/" in the path)
get_quiz
slug: string — Course slug or URL (e.g., "math/algebra")
kind?: string — "all", "quiz", "unit-test", or "course-challenge" (default: "all")
study_guide
topic: string — Topic or concept to study (e.g., "quadratic equations")
depth?: string — "quick", "standard", or "comprehensive" (default: "standard")
Workflows
Topic exploration:
list_subjects → get_topic_tree → get_course → get_lesson → get_content / get_transcript
Quick lookup:
search → get_content or get_article → get_transcript (if video)
Study session:
search or get_topic_tree → study_guide for review, then get_article / get_transcript for deep dives
Course overview:
get_course → pick a unit/lesson → get_lesson → get_content
Test prep:
get_quiz → review covered lessons → get_exercise for practice → get_transcript / get_article to study weak areas
Development
git clone https://github.com/aicoder2009/khanacademyMCP.git
cd khanacademyMCP
npm install
npm run build
Test with:
echo '{"jsonrpc":"2.0","id":1,"method":"tools/list"}' | node dist/index.js
How It Works
Khan Academy deprecated their public API in 2020. This MCP server uses:
- Khan Academy's internal GraphQL API — safelisted queries for content metadata and search
- YouTube transcript API — fetches video captions/subtitles
- Page scraping — extracts structured data from Khan Academy web pages as a fallback
- Static catalog — hardcoded top-level subjects for reliable
list_subjects
All access is read-only with rate limiting (500ms between requests) and in-memory caching to be respectful of Khan Academy's servers.
Limitations
- No authentication — cannot access user-specific data (progress, recommendations)
- Khan Academy's internal API may change without notice — static fallbacks ensure basic functionality
- Transcript availability depends on YouTube captions being present
- Rate-limited to avoid overloading Khan Academy's servers
License
MIT
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