open-code-review

Open Code Review MCP Server

Open Code Review checks AI-generated code for hallucinated imports, phantom packages, stale APIs, and security anti-patterns. Developers and maintainers can inspect directories or Git diffs, get issue explanations, and prepare agent-led repairs.

Server facts

open-code-review MCP Server

Project

Author
raye-deng
License
Not specified

Tech

Runtime / language
node
Transports
Not specified
Remote available
No
Authentication
Not specified

Activity

GitHub stars
40
Last commit
Data as of

Overview

Directory scans and Git branch comparisons bring Open Code Review into AI-assisted development and pull-request review. The scan_directory tool looks for invented imports, nonexistent packages, outdated APIs, and security anti-patterns across source files. Its language coverage includes Python, Go, Java, Kotlin, TypeScript, and JavaScript. For reviews focused on a proposed change, scan_diff examines differences between branches and restricts analysis to modified files and lines, giving maintainers a targeted workflow for checking generated contributions.

Findings can be investigated with explain_issue, which adds category context and guidance on corrections. The heal_code tool retrieves a file and assembles repair context for an AI agent to use; applying the fix is the agent's responsibility. Beyond MCP, the project provides a CLI and integrations for GitHub Actions and GitLab CI. Its deeper analysis supports local Ollama models or OpenAI-compatible providers, and reports can be produced as terminal output, JSON, SARIF, or HTML.

open-code-review setup notes

  • open-code-review has no recorded license; confirm reuse terms in its repository.

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