How to Use the Travis CI MCP in Vercel AI SDK

Q: How do I use the Vercel AI SDK to monitor Travis CI builds in my app?

You call listrepositorybranches via the MCP Server. Because you're using the Vercel AI SDK, the build status data streams directly into your React or Next.js component as it changes, so users see the update instantly.

Q: What if a new commit breaks CI on Travis CI? Can the Vercel AI SDK handle this?

Yes. You can use triggernewbuild to initiate a test run and then monitor its status using getbuilddetails. The results stream into your UI, showing exactly where the failure occurred without any manual refreshing.

Q: Does the Vercel AI SDK support cancelling failing builds on Travis CI?

Absolutely. You use the canceltravisbuild tool. This action sends a direct cancellation signal to the running job, allowing your users to halt resource usage immediately from their web interface.

Q: How does Travis CI authentication work when using the Vercel AI SDK?

The server uses getuserprofile to pull the authenticated user's data. This ensures that every action, whether triggering or viewing details, is correctly tied back to a specific user account.

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Connect Travis CI MCP to Vercel AI SDK

Create your Vinkius account to connect Travis 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.

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Setup Travis CI with Vercel AI SDK

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Show Live Build Status

When you call `list_repository_branches`, your UI immediately shows the latest build status for every branch on Travis CI. This lets users see if their feature branch passes testing before they even click 'deploy'. You can also use `get_build_details` to fetch comprehensive information about a specific run, streaming the results directly into the component. No loading spinners needed; the data just appears live.

Manage Builds on Demand

Need to test something immediately? Call `trigger_new_build` with the repo slug and desired branch. Your client sends the request, and your UI updates in real-time as the new build starts running. You'll see the progress indicators appear instantly. If a build goes sideways, you can use `cancel_travis_build` to stop it immediately. This control mechanism gives your users direct oversight of the CI process.

Check Repository Health

The `list_travis_repositories` tool lets you map out all existing projects configured on Travis CI and pull their current health status into a dashboard. You'll know instantly which repos need attention. Furthermore, the `get_user_profile` tool pulls the authenticated user’s details, ensuring that your frontend knows who initiated the build or check.

Setup guide

Set up Travis 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 Travis 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 Travis CI transactions",
});

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

Get your connection token →

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Common questions about Travis CI MCP in Vercel AI SDK

You call `list_repository_branches` via the MCP Server. Because you're using the Vercel AI SDK, the build status data streams directly into your React or Next.js component as it changes, so users see the update instantly.

Yes. You can use `trigger_new_build` to initiate a test run and then monitor its status using `get_build_details`. The results stream into your UI, showing exactly where the failure occurred without any manual refreshing.

Absolutely. You use the `cancel_travis_build` tool. This action sends a direct cancellation signal to the running job, allowing your users to halt resource usage immediately from their web interface.

The MCP Server handles various data types, including repository slugs and specific build IDs. These are the core identifiers needed to track a project through its lifecycle.

The server uses `get_user_profile` to pull the authenticated user's data. This ensures that every action, whether triggering or viewing details, is correctly tied back to a specific user account.

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