Which integrations are available for this server?

Provides full programmatic access to Coursera, including course discovery and enrollment, progress tracking, speedrunning lectures, solving quizzes via GraphQL, submitting assignments, earning certificates, and auto-adding certificates to LinkedIn.

How do I use Coursera MCP?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Coursera MCP Enroll me in the 'Machine Learning' course by Andrew Ng" 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.

Coursera MCP

by VoidChecksum

Overview Schema Related Servers Score Discussions

Python

Local

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Give any AI agent — Claude, GPT, or your own — full programmatic access to Coursera. Enroll in courses, speedrun lectures, solve quizzes, submit assignments, earn certificates, and push them to LinkedIn. All from a single MCP server.

✨ Highlights

	Feature	How
🚀	Speedrun entire courses	Complete all lectures/readings in parallel via API — seconds, not hours
🧠	Solve quizzes via GraphQL	Fetch questions + option IDs, submit answers, get instant grades — no browser
📝	Submit assignments	Written, peer review, discussion prompts, programming — all automated
📊	Track everything	Grades, progress %, certificates, verification URLs
🔗	LinkedIn integration	Auto-add certificates to your profile with duplicate detection
🕷️	Scrapling scraping	Adaptive parser (1775× faster than BeautifulSoup) + JS rendering
🛡️	Stealth browser	rebrowser-puppeteer + fingerprint injection defeats Cloudflare/bot detection
🔑	Cookie-based auth	No passwords stored — session cookies via Cookie-Editor

Related MCP server: Canvas MCP

📋 Prerequisites

All authentication uses browser session cookies. Install Cookie-Editor to export them:

Browser	Install
	Chrome Web Store
	Firefox Add-ons
	Edge Add-ons

2. Export Coursera Cookies

Log into coursera.org
Click Cookie-Editor icon → Export → copy CAUTH and CSRF3-Token values
Paste into .env (see Setup)

3. Export LinkedIn Cookies (optional)

Log into linkedin.com
Click Cookie-Editor icon → Export → copy li_at and JSESSIONID values
Paste into .env

🚀 Setup

# Clone
git clone https://github.com/VoidChecksum/coursera-mcp.git
cd coursera-mcp

# Python environment
uv venv .venv
uv pip install -p .venv/bin/python mcp curl_cffi skipera requests "scrapling[fetchers]"
.venv/bin/scrapling install

# Node dependencies (for stealth browser automation)
npm install rebrowser-puppeteer puppeteer-extra puppeteer-extra-plugin-stealth \
            fingerprint-generator fingerprint-injector

# Configure credentials
cp .env.example .env
chmod 600 .env
# ✏️  Edit .env — paste your cookie values from Cookie-Editor

`.env` format

# ── Coursera (required) ──────────────────────────────
COURSERA_CAUTH=<paste CAUTH cookie value>
COURSERA_CSRF3=<paste CSRF3-Token cookie value>

# ── LinkedIn (optional) ──────────────────────────────
LINKEDIN_LI_AT=<paste li_at cookie value>
LINKEDIN_JSESSIONID=<paste JSESSIONID value, without quotes>

NOTE

When Coursera or LinkedIn logs you out, re-export cookies with Cookie-Editor and update.env.

⚡ Connect to Your AI Client

Add to your MCP config (claude_desktop_config.json or via CLI):

{
  "mcpServers": {
    "coursera": {
      "command": "/path/to/coursera-mcp/run.sh"
    }
  }
}

Or via CLI:

claude mcp add coursera /path/to/coursera-mcp/run.sh

Any MCP-compatible client that supports stdio transport works. Point it at run.sh which loads .env and starts the server.

🛠️ Tools (43)

📚 Course Discovery & Enrollment

Tool	Description
`whoami`	Verify session, return user ID
`my_courses`	List enrolled courses (name, slug, role)
`search`	Search Coursera catalog via GraphQL
`course_details`	Full course metadata by slug
`enroll_course`	Instantly enroll in any course
`reset_course_deadlines`	Reset/extend deadlines to unlock expired submissions

📊 Progress, Grades & Certificates

Tool	Description
`get_course_grades`	Grades, outcomes, and passing state for all graded items
`get_course_progress`	Overall progress % and per-item completion status
`get_certificates`	All certificates with codes and verification URLs

⚡ Speedrunning

Tool	Description
`complete_course_lectures`	Instantly complete all lectures, readings, widgets, coach items — in parallel via REST API

🧠 Quiz & Assessment (GraphQL — no browser)

Tool	Description
`get_quiz_questions_api`	Fetch questions + option IDs via GraphQL
`submit_quiz_answers_api`	Submit answers, get instant grade + feedback
`get_discussion_prompt`	Get discussion prompt details
`submit_discussion_prompt_answer`	Post answer to discussion prompt

📖 Content Extraction

Tool	Description
`get_video_transcript`	Clean text transcript of any lecture video
`get_supplement_content`	Clean text of any reading/supplement

🌐 Browser Automation (stealth Chromium)

Tool	Description
`get_quiz_attempt`	Start/resume quiz in browser, extract all questions
`submit_quiz_attempt`	Answer quiz, sign honor code, submit
`get_assignment_instructions`	Extract assignment instructions + form fields
`submit_assignment`	Submit written/peer assignment (text + files)
`get_workspace_url`	Get Jupyter/lab workspace URL
`mark_item_completed`	Trigger completion by loading item page
`get_forum_threads`	Extract discussion forum threads
`post_forum_thread`	Post new thread in forums
`get_peer_review_questions`	Get peer review criteria + rubrics
`submit_peer_review_evaluation`	Submit peer review grading
`get_programming_assignment_instructions`	Get programming assignment schema
`submit_programming_api`	Submit code to Coursera autograder

🕷️ Scrapling (adaptive web scraping)

Tool	Description
`scrapling_api_fetch`	Fast API call via Scrapling (stealth httpx, 1775× faster than BS4)
`scrape_course_page`	Scrape authenticated pages with JS rendering (Playwright)
`scrape_url`	General-purpose scraper with CSS selectors

🔗 LinkedIn Integration

Tool	Description
`get_linkedin_certifications`	Fetch existing certs on LinkedIn profile
`add_certificate_to_linkedin`	Add cert to LinkedIn (auto-skips duplicates)
`add_all_certificates_to_linkedin`	Batch-add all Coursera certs (dedup)

🎓 Study & Planning (read-only)

Tool	Description
`course_content_digest`	Bundle a module's/course's transcripts + readings into one study document
`search_course_transcripts`	Full-text search across a course's lecture transcripts, with snippets
`learning_dashboard`	Progress %, certificate, and grade across all enrolled courses in one call
`get_upcoming_deadlines`	Session end dates across enrolled courses, soonest first
`export_deadlines_ics`	Export deadlines as an importable `.ics` calendar
`search_courses`	Catalog search with free-only / difficulty / min-rating filters
`get_specialization`	Specialization details + its course list

🏗️ Architecture

coursera-mcp/
├── server.py            Python MCP server — all 43 tools
├── automation.mjs       Stealth browser automation (Node.js)
├── run.sh               Launcher (loads .env, starts stdio)
├── .env                 Your cookies (🔒 gitignored)
├── .env.example         Template
└── .gitignore

┌──────────────────────────────────────────────────────┐
│          MCP Clients (Claude / GPT / Custom)         │
├──────────────────────────────────────────────────────┤
│            server.py  ·  FastMCP stdio               │
├─────────┬─────────┬──────────┬───────────┬───────────┤
│  REST   │ GraphQL │ Scrapling│  Browser  │ LinkedIn  │
│  API    │  API    │          │  Stealth  │  Voyager  │
│         │         │          │ Puppeteer │ + Browser │
├─────────┴─────────┤          ├───────────┤           │
│  curl_cffi        │ Fetcher  │automation │automation │
│  skipera          │ Dynamic  │   .mjs    │   .mjs    │
│  requests         │ Fetcher  │ (Node.js) │ (Node.js) │
└───────────────────┴──────────┴───────────┴───────────┘

🔒 Security


No passwords stored	Cookie-based auth only — session tokens from your browser
`.env` is gitignored	Secrets never enter version control
No hardcoded credentials	All secrets read from `os.environ` at runtime
No secret logging	Cookies are never printed or logged to stdout/stderr
`.env.example` is safe	Contains only empty placeholders

CAUTION

Never commit your.env file. If you accidentally expose cookies, log out of Coursera/LinkedIn immediately to invalidate them.

📄 License

MIT — use it however you want.

This server cannot be installed

license - permissive license

quality - not tested

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

–Release cycle

–Releases (12mo)

Commit activity

Resources

GitHub Repository

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✨ Highlights

📋 Prerequisites

1. Install Cookie-Editor

2. Export Coursera Cookies

3. Export LinkedIn Cookies (optional)

🚀 Setup

.env format

⚡ Connect to Your AI Client

🛠️ Tools (43)

📚 Course Discovery & Enrollment

📊 Progress, Grades & Certificates

⚡ Speedrunning

🧠 Quiz & Assessment (GraphQL — no browser)

📖 Content Extraction

🌐 Browser Automation (stealth Chromium)

🕷️ Scrapling (adaptive web scraping)

🔗 LinkedIn Integration

🎓 Study & Planning (read-only)

🏗️ Architecture

🔒 Security

📄 License

Maintenance

Resources

Looking for Admin?

Latest Blog Posts

MCP directory API

`.env` format