How to Use the Gerrit MCP in LangChain

Q: How do I connect Gerrit to LangChain?

Install langchain-mcp-adapters. Use MultiServerMCPClient with your Gerrit endpoint and pass the tools directly to your agent.

Q: Can LangChain agents see Gerrit patch sets?

Yes. The agent calls listpatchsets to read the revision history for any specific change ID.

Build ReAct agents in LangChain that query Gerrit code reviews and track patch sets automatically.

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Connect Gerrit MCP to LangChain

Create your Vinkius account to connect Gerrit to LangChain 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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Setup Gerrit with LangChain

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Wire the MCP Server into LangChain

Stop checking code reviews manually. You wire this MCP Server into your LangChain setup, and your agent does the heavy lifting. It calls `query_changes` to find open pull requests based on the exact parameters you define. The output feeds right into your next chain. If a PR is stuck, the agent runs `list_reviewers` to see who dropped the ball. LangSmith tracks every token and API call, so you know exactly why the agent decided to ping a specific developer.

Chain your code review data

Gerrit data isn't just for dashboards. You build a ReAct agent that loops through `list_projects` and pulls branch data using `list_branches`. It constructs a live map of your entire repository state. Then it gets specific. The agent hits `get_change` to read the exact status of a merge. It chains that data into a Slack alert or a Jira ticket update. You define the workflow, and the tools handle the raw data extraction.

Audit patch sets automatically

Nobody likes digging through revision histories. Your LangChain agent runs `list_patchsets` and compares the timestamps. It sees exactly how many times a developer had to fix their code before getting an approval. You can even pull group data with `list_groups` to check if the right teams are assigned. The agent makes decisions based on hard API responses, not guesses. It just works.

Setup guide

Set up Gerrit MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Gerrit tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "gerrit-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent Gerrit transactions"
    })
    print(result["messages"][-1].content)

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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 LangChain

Install `langchain-mcp-adapters`. Use `MultiServerMCPClient` with your Gerrit endpoint and pass the tools directly to your agent.

Yes. The agent calls `list_patchsets` to read the revision history for any specific change ID.

It does. You map out complex review workflows where nodes trigger tools like `get_project` or `list_branches` based on previous steps.

Every tool execution gets logged automatically. You see the exact inputs for `query_changes` and the latency of the server response.

Your agent only reads what the authenticated account can see. It touches patch sets, commit messages, and reviewer emails. Vinkius runs the MCP connection in an ephemeral V8 isolate, meaning credentials never leak.

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