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Expose self-hosted code review tools in any MCP client.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "codeJung-mcp" yet — see the docs or source repo.
Use codeJung-mcp to review this PR, focusing on bugs, maintainability, and test coverage.
A code review with actionable suggestions for the PR.
Use codeJung-mcp to review the current local code directory and point out design issues and risks.
A review of the local directory codebase.
I am using an MCP-compatible client; help me run a code review workflow with codeJung-mcp.
A code review workflow and results usable from an MCP client.
Developers can use it before merging to check PR quality, risks, and test coverage from an MCP client. It helps centralize code review in one tool.
When developers want to review local code changes before committing, they can call it through an MCP client. It helps catch obvious defects and maintainability issues early.
It is an MCP server that exposes the self-hosted codeJung code-review service as tools. This lets you review PRs or local directories from any MCP-compatible client.
According to the description, it supports PR and local directory reviews. Specific checks such as bugs, design, or tests depend on how you prompt the review.
You need a self-hosted codeJung code-review service and an MCP-compatible client. For installation and configuration details, see the source repository.
Runs dual-model code reviews and synthesizes one unified report.
Automatically review GitHub PRs with efficient, deep analysis using static checks and LAG.
Review code, detect bugs, and generate tests and documentation.
Analyze local code quality, review diffs, and score whole projects.
Automatically review code changes for bugs, security risks, and style issues.
Provide AI agents with developer utilities like code review, JSON formatting, and password generation.