Mergify
Merge queue, pull request automation and CI insights for GitHub repositories.
- Category
- Developer Tools
- Type
- CI/CD
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- Access token
- Docs
- Mergify API docs
02Data
What you can sync.
- Merge queues
- Pull requests
- Ci jobs
- Events
Report on Mergify merge queues in DataPrism BI and let an AI Mind answer delivery questions in plain words.
Need more? Name any other Mergify data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- An access token
Mergify uses an access token. You add the credentials once, when the AI asks for them, and it tells you where to create them in Mergify if you need help.
04How it works
How it works in DataMind.
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Pick Mergify.
Open Lake, pick Mergify in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Mergify API docs.
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Answer a few questions.
The AI reads the Mergify documentation, then asks which credentials you will use, which data to sync (for example merge queues and pull requests), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
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Your data lands in Lake.
It builds the connector, tests it and shows you sample rows. Then Mergify data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
