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CodeRabbit

Explain how CodeRabbit generates line-level suggestions and applicable patches during pull requests, and what changes once MCP integration brings business and operations context into the review.

CodeRabbit turns AI code review into a chain that runs from the laptop to the cloud: staged edits are checked inside the editor, then pull requests get summaries, line-by-line suggestions and patches that apply in one click. A code graph plus retrieval keeps recommendations aligned with each repository's existing style, while MCP integration pulls tickets and monitoring metrics into the review conversation.