Question 1

What is the Gerrit Review MCP Server?

Accepted Answer

The Gerrit Review MCP Server is an integration that connects Gerrit code review system with AI assistants, allowing AI models to review code changes and provide intelligent feedback through a simple interface.

Question 2

What is MCP?

Accepted Answer

MCP stands for Model Context Protocol. It's an open protocol that standardizes how applications provide context to LLMs, enabling AI models to access and interact with external data sources and tools.

Question 3

What are the key features of the Gerrit Review MCP Server?

Accepted Answer

Key features include fetching change details (including files, patch sets, and diff information), comparing patchset differences, streamlined installation and configuration, and robust troubleshooting.

Question 4

How does the `fetch_gerrit_change` function work?

Accepted Answer

The `fetch_gerrit_change` function retrieves complete change information from Gerrit, including project, branch, author, reviewer details, comments, review history, file modifications with diff content, and current patch set information.

Question 5

What is the purpose of the `fetch_patchset_diff` function?

Accepted Answer

The `fetch_patchset_diff` function compares differences between two patchsets of a change, allowing you to view specific file differences or all changed files and track the evolution of changes through review iterations.

Question 6

What are the prerequisites for installing the Gerrit Review MCP Server?

Accepted Answer

Prerequisites include Python 3.10 or higher (Python 3.11 recommended), Gerrit HTTP access credentials (username and HTTP password), and access to the `mcp[cli]` package repository.

Question 7

How do I install the Gerrit Review MCP Server?

Accepted Answer

You can install it either via Smithery using the command `npx -y @smithery/cli install @cayirtepeomer/gerrit-code-review-mcp --client claude` or manually by cloning the repository, creating a virtual environment, and installing the package using `pip install -e .`.

Question 8

How do I configure the Gerrit Review MCP Server?

Accepted Answer

Configure the server by setting up environment variables (`GERRIT_HOST`, `GERRIT_USER`, `GERRIT_HTTP_PASSWORD`) or creating a `.env` file with these variables. Also, generate an HTTP password in Gerrit settings.

Question 9

How do I generate an HTTP password in Gerrit?

Accepted Answer

Log into your Gerrit web interface, go to Settings > HTTP Credentials, and generate a new password. Copy this password to your environment variables or `.env` file.

Question 10

How do I configure the MCP server with Cursor?

Accepted Answer

Add the server's configuration to your `~/.cursor/mcp.json` file, specifying the path to the Python interpreter, `server.py` file, working directory, and environment variables.

Question 11

What should I do if I encounter connection issues?

Accepted Answer

Verify your HTTP password, check the `GERRIT_HOST` setting, ensure HTTPS access is enabled on the Gerrit server, test the connection using `curl`, and verify Gerrit access permissions for your account.

Question 12

What is UBOS?

Accepted Answer

UBOS is a full-stack AI Agent Development Platform focused on bringing AI Agents to every business department. It helps you orchestrate AI Agents, connect them with enterprise data, build custom AI Agents with your LLM model, and create Multi-Agent Systems.

Question 13

How does the Gerrit Review MCP Server integrate with UBOS?

Accepted Answer

The Gerrit Review MCP Server can be integrated into UBOS AI Agent workflows, allowing you to create AI Agents that automatically review code changes and provide intelligent feedback, improving the overall quality of the codebase within the UBOS platform.

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