How to Use the Gerrit MCP in Vercel AI SDK

Q: How do I connect the Vercel AI SDK to Gerrit?

Install the @ai-sdk/mcp package and create a client with your Vinkius endpoint URL. Pass the tools to streamText or generateText, and your agent can start querying Gerrit immediately.

Q: Can I build a UI that shows Gerrit review status with the Vercel AI SDK?

Yes. Your agent uses getchange to fetch the status, and the Vercel AI SDK streams the data right into your React components for a live display. No loading spinners needed.

Connect your Vercel AI SDK app to Gerrit and stream code review data directly into your UI.

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Connect Gerrit MCP to Vercel AI SDK

Create your Vinkius account to connect Gerrit to Vercel AI 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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Setup Gerrit with Vercel AI SDK

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Stream Gerrit Change Details Live

Stop making your users wait. When your agent is asked about a code review, it uses `get_change` and `list_patchsets` to pull the details. The Vercel AI SDK then streams those results directly into your React or Next.js components. Your UI builds itself in real-time. Users see the change subject, the owner, and then the patch set history appearing one by one. You can even have the agent use `list_reviewers` and watch names pop into the display. It's fast.

Build Real-Time Repository Dashboards

Give your team a live view of what's happening in Gerrit. Use this MCP Server to have your agent run `list_projects` for a complete repository list. Then, drill into a specific one with `get_project` to see its description and status. With the AI SDK, this isn't a static page. As your agent fetches branches using `list_branches`, they stream onto the screen. It’s perfect for building internal tools that are always up-to-date without a refresh button.

Run Gerrit Queries from Your Frontend

Let users ask complex questions in plain English. Your agent translates their request—like "find my open reviews"—into a `query_changes` call with the right Gerrit syntax. The results stream back instantly. Your app can display a live-updating list of changes that match the query. No more context switching or manually digging through the Gerrit web interface.

Setup guide

Set up Gerrit MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Gerrit tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Gerrit transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Gerrit now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Gerrit MCP in Vercel AI SDK

Install the `@ai-sdk/mcp` package and create a client with your Vinkius endpoint URL. Pass the tools to `streamText` or `generateText`, and your agent can start querying Gerrit immediately.

Yes. Your agent uses `get_change` to fetch the status, and the Vercel AI SDK streams the data right into your React components for a live display. No loading spinners needed.

No, the tools are for reading data only. Your agent can check review status with `get_change` and see who needs to approve with `list_reviewers`, but it can't perform actions like merging.

It's a secure, managed endpoint that exposes tools for your AI client. Vinkius handles the hosting and auth, so you just connect your app and start using the tools without worrying about infrastructure.

It only accesses Gerrit metadata like change details, project names, branch lists, and reviewer accounts. It never touches your source code, and all connections are ephemeral and secured by your Vinkius token.

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