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Coursera
Find and compare online courses inside ChatGPT — verified for 2026.
Quick answer
What it does
Searches Coursera's catalog by goal, skill level, duration, language, certificate type, and rating. Returns matching courses with full metadata and a deep link to enroll.
Best for
- Course discovery by skill
- Comparing time commitment and certification
- Building a learning path
- Skill-gap research
Not for
- Degree-program enrollment
- In-course delivery
Setup recipe
Coursera is a ChatGPT-native app — connect once from the directory, then try the prompt below.
- 1
Connect
Open Coursera from the official ChatGPT Apps directory. First-run OAuth links it to your account — there is no command-line install, no JSON config, no environment variables.
Open Coursera in ChatGPT - 2
Try a minimum working prompt
Build a 3-course learning path for a specific skill
Coursera, build me a 3-course path to learn causal inference for product analytics. Beginner-to-intermediate, under 6 weeks total, English, with certificates. Show why each course is on the list.Tested with: ChatGPT.
Tools & permissions
Tools list pending verification. The server exposes tools over MCP; we haven’t yet parsed its capability manifest into this page. Check the GitHub repo for the authoritative list.
Agent prompt pack
— copy into Claude, Cursor, or ChatGPT.Recommend the best MCP servers for [task: e.g. documents & content work] in [client: ChatGPT]. Constraints: - Prefer tools that are [official | open-source | read-only] — pick what matters for my use case. - Exclude MCPs that require [e.g. a paid plan, OAuth-only flows, remote-only transport]. - Return at most 3 picks, ranked. For each pick include: 1. One-sentence rationale. 2. The ready-to-paste install snippet for my client. 3. Any required secrets I need to create before installing. Cross-check the top-mcps.com listing: https://top-mcps.com/top-mcps-for-documents-content
Compare Coursera MCP vs [Canva MCP] for the following job: [describe the job, e.g. "let an agent create GitHub issues on bug triage"]. Judge them on: - Setup time and complexity (what a new user hits first). - Auth model (none / API key / OAuth 2.1) and credential risk. - Transport (stdio / Streamable HTTP / SSE) and where the server runs. - Required secrets and the blast radius if they leak. - Operational risk in an unattended agent loop. - Which one is "good enough" for a weekend prototype vs. production. End with one sentence: which should I pick for my scenario, which is: [my scenario]. References: - https://top-mcps.com/mcp/coursera - top-mcps.com listing for Canva
Install the Coursera MCP server for my [client: ChatGPT] at the default config path for that client. Use the exact install snippet published at https://top-mcps.com/mcp/coursera (fetch https://top-mcps.com/mcp/coursera.json for the canonical server.json if you can read URLs). Before finishing: 1. Create the required secrets (no secrets) and put them in the appropriate env block — do not hard-code them. 2. Restart or reload the client so it picks up the new server. 3. Verify the server is connected (green / running state) and at least one tool is listed. 4. If anything fails, read the client's MCP logs and report the exact error — do not silently retry. Confirm when done and list the tools the server now exposes.
Frequently asked questions
What changed
— 2 updates tracked.Refreshed install snippets and fact sheet; verified for 2026.
Initial directory listing.
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