Create your own OpenAI and GitHub integration

Choose a trigger
Choose an action

When GitHub: Pull request opened happens, do GitHub: Comment on issue.

Popular OpenAI and GitHub workflows

When this happens in one app, do this in the other. Try it on Hub to connect both apps and run the pair.

Most popular

Post AI PR summary when review is requested

When a PR is ready for review, summarize the diff with OpenAI and comment on the pull request.

GitHub + OpenAITry it →

Comment summary after generation

After the model returns a summary, post it as a GitHub comment for reviewers.

GitHub + GitHubTry it →

Draft release notes from merged PRs

When a release is published, list commits since the last tag and ask OpenAI for customer-facing notes.

GitHub + OpenAITry it →

Suggest replies to review comments

When a new review comment arrives, fetch the PR and generate a concise reply suggestion.

GitHub + GitHubTry it →

Explain CI failures in plain language

When a check run fails, pull recent commits and ask OpenAI for a short failure explanation.

GitHub + OpenAITry it →

Batch summarize weekly merged PRs

On release publish, queue a batch job to summarize all merged PR titles for the changelog.

GitHub + OpenAITry it →

Agent

Use Corsair's MCP with your agent

Corsair connected

The agent searches both apps before it answers.

What should we tell customers in the 2.8 release notes?

OpenAI and GitHub details

OpenAI and GitHub FAQ

Yes. Corsair is built with a REST API. This means you can build agents, knowledge bases, interfaces, and workflows.

Yes. Connect both apps once, then generate PR summaries, release notes, and CI explanations from GitHub events and post results back as comments.

Summarize pull requests for reviewers, draft customer release notes, suggest replies to review comments, explain failed checks, and batch-process weekly changelogs.

Yes. GitHub pull request, review, check run, and release webhooks drive workflows; OpenAI is invoked through typed API actions when those events fire.