Gerrit Code Review MCP Server
Gerrit code review workflows for AI, providing change inspection and feedback submission.
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Overview
The Gerrit Code Review MCP Server enables AI assistants to interact directly with Gerrit instances. It allows users to fetch detailed change information, analyze patchset differences, and submit review feedback, including voting labels and inline file comments, through a standardized interface. Designed for Python environments, this server supports advanced code review tasks like comparing specific patchsets and monitoring file-level modifications. It provides granular control over notification settings when posting review data back to the Gerrit system.
Our verdict
This server carries a high-risk score of 21/100, primarily due to the lack of a defined software license and the absence of clear authentication security reviews. Given that it is a community-maintained project that has not been editorially vetted and shows limited recent repository activity, it should be used with caution in sensitive or professional CI/CD environments.
- Zero direct dependencies minimize the software supply chain surface.
- Comprehensive toolset for both reading and submitting Gerrit reviews.
- Supports granular control over review notifications.
- No license detected, creating legal ambiguity for implementation.
- Low security score driven by lack of authentication audits.
- Repository activity is limited with no commits for over 260 days.
Tools
| Tool | Description | Risk |
|---|---|---|
| fetch_gerrit_change | Fetches complete change information including files and patch sets. | low |
| fetch_patchset_diff | Compare differences between two patchsets of a change. | low |
| submit_gerrit_review | Post summary feedback, vote labels, and inline/file-level comments. | medium |
Compatibility
| Client | Local | Docker | Remote | Read-only |
|---|---|---|---|---|
| Claude Desktop | ||||
| Cursor | ||||
| VS Code | ||||
| Windsurf | ||||
| ChatGPT |
Frequently asked questions
›What authentication credentials are required to use this server?
You must provide your Gerrit username and a generated HTTP password, which can be created via your Gerrit web interface under Settings > HTTP Credentials.
›Can I filter which files are reviewed by the AI?
Yes, you can define the GERRIT_EXCLUDED_PATTERNS environment variable using comma-separated regex patterns to skip specific files or directories like node_modules.
›How can I handle self-signed certificates or custom CA bundles?
You can set GERRIT_SSL_VERIFY to false to disable TLS verification, or provide a path to a custom CA certificate using the GERRIT_CA_BUNDLE environment variable.
›What Python version is required?
The server requires Python 3.10 or higher, with Python 3.11 being the recommended version.
›Does the server support reviewing older versions of a change?
Yes, the fetch_gerrit_change and submit_gerrit_review tools both support specifying a patchset_number to target specific iterations of a code change.
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