GitHub integration for Rig
The easiest way to connect GitHub to Claude and other AI tools
GitHub is the leading code hosting and collaboration platform, where teams manage repositories, pull requests, issues, reviews and CI workflows.
What Rig syncs from GitHub
Once connected, Rig models these objects so questions resolve to the right tables and joins:
- Repositories
- Pull requests
- Commits
- Issues
- Reviews
- Comments
- Releases
- Workflow runs
- Contributors
How GitHub connects to Rig
Rig Ingest syncs your GitHub repositories, pull requests, reviews and workflow runs into your warehouse on a schedule, tracking state changes over time. Rig then models pull request timelines and contributor activity so cycle time and throughput questions resolve correctly.
Measure pull request cycle time and throughput
Pull request cycle time is the elapsed time from first commit to merge, broken into coding, review and idle waiting. Rig reads GitHub pull request timestamps and review events, so you can see median time to merge, where PRs wait, and how throughput trends week over week.
- What was median pull request cycle time last month?
- Where do pull requests spend the most time, coding or review?
- Show merged pull request count per week this quarter
Balance review load across the team
Rig joins GitHub reviews and comments to reviewers and repositories, so you can see who carries the review burden and how fast reviews come back. That surfaces bottlenecks where a single reviewer gates most merges.
- Who reviewed the most pull requests in the last 30 days?
- What is median time to first review by repository?
- Which pull requests have been waiting on review for over three days?
Track CI reliability and workflow failures
By reading GitHub workflow runs, Rig measures how often CI passes, which workflows fail most, and how long pipelines take. Engineering leads use it to find flaky checks that slow every merge.
- What is the workflow run failure rate by repository this month?
- Which workflows take the longest to complete on average?
- Show failed workflow runs on the main branch this week
Report on contributor activity and commit trends
Rig rolls up GitHub commits, pull requests and releases by contributor and repository, so you can see where work is concentrated and how activity shifts over releases. That grounds capacity and ownership conversations in real data.
- Show commit volume by contributor over the last quarter
- Which repositories have the most active contributors?
- How many pull requests shipped in each release?
Ask your GitHub data in Claude, ChatGPT or Cursor
Rig serves your GitHub data to AI assistants over MCP. Once GitHub is synced into your warehouse, you can ask questions in plain English from the tool you already use, and every answer is backed by validated, governed SQL.
Frequently asked questions
- What GitHub data does Rig sync?
- Repositories, Pull requests, Commits, Issues, Reviews, Comments, Releases, Workflow runs and Contributors, including pull request and review state changes over time.
- Can Rig measure pull request cycle time without a dashboard?
- Yes. Rig models pull request timestamps and review events, so cycle time, time to first review and throughput questions are answered in plain English.
- Can I query GitHub data in Claude or ChatGPT?
- Yes. Once GitHub is synced to your warehouse, Rig serves it to Claude, ChatGPT, Cursor and other AI tools over MCP.
- How often does GitHub data refresh?
- Rig Ingest syncs on a schedule you set and tracks pull request, review and workflow state changes so new activity appears automatically.
Related integrations
Connect GitHub data to AI tools like Claude
Rig builds a governed context layer over your data so every team, and every AI tool, asks questions and gets answers they can trust.