MCP server for interacting with CodeRabbit AI reviews on GitHub pull requests. Enables LLMs to analyze, implement, and resolve CodeRabbit suggestions programmatically.
Server has 6 tools with consistent naming, good descriptions, and complete input schemas. Tool names follow verb_noun convention (get_, resolve_). Descriptions average ~90 characters and clearly state what each tool does. All parameters have type definitions and descriptions. However, output schemas are not documented in the source code provided, and error handling guidance is minimal. Security posture is good (read-only tools, proper parameter typing), but the server lacks response field documentation and pagination guidance for list-like tools. Prompts feature is implemented with a detailed template. Overall quality is fair-to-good (C+/B- range) with clear room for improvement in output documentation and error recovery patterns.
Get all CodeRabbit reviews for a specific GitHub pull request
Get detailed information about a specific CodeRabbit comment
Get all individual line comments from CodeRabbit reviews
Get detailed information about a specific CodeRabbit review
Mark a CodeRabbit comment as resolved or addressed
Resolve or unresolve a GitHub pull request review conversation
Output schemas not documented in source code. Tools return data but the expected response structure (fields, types, pagination) is not visible in the provided code, forcing LLMs to guess what data they'll receive.
No pagination guidance for list-like tools. get_coderabbit_reviews and get_review_comments may return many results but lack limit/offset parameters or cursor documentation, risking context window exhaustion.
Error handling guidance absent. Tools declare no error cases or recovery hints. If a PR is not found, a user ID is invalid, or the API is rate-limited, the LLM has no guidance on what to do next.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-22 | C | 63 | 2026-07-28+ | v2 |
| 2026-03-09 | D | 51 | - | v1 |
No tool annotations. Tools modifying state (resolve_comment, resolve_conversation) lack destructiveHint or idempotentHint annotations, preventing agents from understanding safety implications.
Parameter pullNumber uses type 'number' instead of 'integer'. While semantic, this is inconsistent with JSON Schema best practice and may confuse strict validators.