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by ZebraRoy • Workflow & Task Management
An MCP service that helps AI agents manage, track, and report on code review sessions across a project.
Start, resume, and persist structured code review sessions across a project with tracked progress.
Obtain the next file to review, submit per-file AI reviews, and have those reviews counted against a token budget.
Generate consolidated review reports including stored agent feedback and file review status.
This Model Context Protocol (MCP) provides tools for starting or resuming code review sessions, tracking files and per-file review status, storing agent reviews, and generating comprehensive review reports. It includes token counting for context management, persistent session storage in the user's home directory, and built-in agent instructions. The toolkit supports multiple file-selection modes (glob, changed, staged) and is configurable via command-line arguments.
Start a new code review session or resume an existing one. This should be the first tool called when starting or resuming a review process.
Get the next file that needs to be reviewed
Submit a review for a file
Mark a review session as completed. This should ONLY be called when all files have been properly reviewed, NOT when token limit is exceeded.
Generate a report for a review session
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