How to Use the Drone CI MCP in Vercel AI SDK

Q: Can the Vercel AI SDK handle Drone CI build failures automatically?

Yes. You can write logic in your agent to call listbuilds and check statuses. If a failure occurs, the agent triggers restartbuild to attempt a recovery.

Stream Drone CI pipeline data straight into your UI with the Vercel AI SDK. Build interfaces that show builds moving in real-time.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Drone CI MCP to Vercel AI SDK

Create your Vinkius account to connect Drone CI 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.

GDPR Free for Subscribers

Setup Drone CI with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Real-time build observability

Pipe `get_build_logs` directly into your React components to show users exactly what is happening during a deployment. Stop relying on static status updates and show the stream. Your AI client fetches logs via this MCP Server, and since you're using the Vercel AI SDK, that data renders as it arrives. It's a live view of your infrastructure.

Programmatic build management

Trigger actions like `restart_build` or `promote_build` based on user interactions within your web app. You can now build buttons that actually control your CI/CD flow. Your AI client handles the execution logic, ensuring that every command sent to the server is validated. It gives your users control without leaving the browser context.

Secret and repository control

Manage your project environment by calling `update_secret` or `enable_repo` from your application backend. It keeps your configuration logic synced with your code. This MCP Server provides the interface to modify settings without manual CLI access. You handle the auth, and the tools take care of the rest.

Setup guide

Set up Drone CI 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 Drone CI 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 Drone CI 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 Drone CI. 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 Drone CI 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 Drone CI MCP in Vercel AI SDK

You manage security by limiting the tools exposed to your agent. Since this MCP Server supports granular tool definitions, you only map the functions your app requires for its specific tasks.

Yes. You can write logic in your agent to call `list_builds` and check statuses. If a failure occurs, the agent triggers `restart_build` to attempt a recovery.

It does. Because the SDK supports streaming, the tool results flow directly into your UI state. You won't see loading spinners for long-running log fetches.

The MCP Server connection will time out gracefully. You should implement standard error handling in your client to notify users when the connection to the build server drops.

It touches your build logs, repository configurations, and secret keys. We treat these as sensitive, so ensure your endpoint token is stored in a secure, encrypted environment variable.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript