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How to Use the Gerrit MCP in OpenAI Agents SDK

Use the Gerrit MCP Server with OpenAI Agents SDK to automate your code review cycle and track patch set status directly in your agent.

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OpenAI Agents SDK

Connect Gerrit MCP to OpenAI Agents SDK

Create your Vinkius account to connect Gerrit to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Monitor code reviews in OpenAI Agents SDK

Your agent pulls real-time data from your repository using `query_changes` to identify pending work. It cuts through the noise by filtering for specific statuses or project owners before you even open a browser. Once the agent has a list, it digs deeper into individual items. It runs `get_change` to grab the current state, ensuring your backend logic stays synced with the actual review progress.

Audit project health with Gerrit tools

Stop guessing which branch contains the latest fix. Your agent uses `list_branches` to map out the current structure of your project repositories instantly. This gives your agent a clear view of the codebase state. It checks `list_projects` to verify where new code belongs, keeping your production pipeline clean and organized.

Manage review feedback loops

The agent identifies exactly who needs to look at a submission by calling `list_reviewers`. It reports back on who has already signed off and who is still holding up the merge. When you need to see the evolution of a feature, it uses `list_patchsets` to track every iteration. This keeps your team aligned on the latest code changes without manual status checks.

Setup guide

Set up Gerrit MCP in OpenAI Agents SDK

Prerequisites

  • Python 3.10+ installed
  • openai-agents package (pip install openai-agents)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install the SDK

    Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.

  2. 2

    Connect via SSE transport

    Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Gerrit tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives Gerrit tools as native definitions — JSON schemas resolve automatically.

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Gerrit tools and returns structured results. Copy the full example on the right to get started.

agent.py
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Gerrit Agent",
            instructions="You have access to Gerrit tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Gerrit. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Gerrit MCP in OpenAI Agents SDK

You instantiate the server via `MCPServerStreamableHttp` and pass it to your agent constructor. Once connected, your agent calls `query_changes` to fetch active code reviews.
Yes. You can implement custom logic to inspect the output of `get_change` before the agent proceeds. This ensures the data meets your internal quality standards.
Vinkius manages the connection security. You just provide the endpoint token and your agent handles the rest of the communication.
Use the `list_groups` tool. Your agent will receive a structured list of group names and IDs for your project permissions.
Absolutely. This MCP server only accesses the specific change details and reviewer lists you explicitly query. Your data stays within your authorized connection scope.

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