Can my AI agent restart failed builds for a specific branch?

Yes. Ask the agent to find failed builds across your pipeline by using the list builds tool. Once it locates the specific build number, it can run the rebuild tool instantly, eliminating the need to search through hundreds of logs on the dashboard.

How can I check the status of my physical runner agents?

Ask your agent to list all agents connected to the Buildkite organization. It returns their UUIDs, operating systems, and connection state. If a runner hangs offline, your AI can immediately flag it to the Platform team, saving crucial deployment time.

If a commit is pushed to 'main', can the agent trigger a fresh pipeline deployment?

Absolutely. You can provide the commit SHA (or simply ask it to target 'HEAD' on the 'main' branch) and ask the agent to create a new build. It will hit the Buildkite trigger endpoint with a message of your choosing.

Buildkite MCP Server for Vercel AI SDK 11 tools — connect in under 2 minutes

Name: Buildkite
Availability: InStock
Author: Vinkius

ai-sdk.dev/docs/ai-sdk-core/mcp

Built by Vinkius GDPR 11 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Buildkite through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

typescript

import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Buildkite, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();

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About Buildkite MCP Server

Connect your Buildkite account to any AI agent and take full control of your CI/CD workflows through natural conversation.

The Vercel AI SDK gives every Buildkite tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

Pipelines & Builds — List active pipelines, trigger new builds, retry failed executions, or cancel stuck pipelines instantly
Deep Log Inspection — Retrieve the exact details of specific builds, examining job lists, statuses, and tracking links
Agent Management — Ping your connected build agents globally and verify their status
Organizational Overview — Monitor your organization's scale, retrieve active pipelines across the entire company, and get recent builds map

The Buildkite MCP Server exposes 11 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Buildkite to Vercel AI SDK via MCP

Follow these steps to integrate the Buildkite MCP Server with Vercel AI SDK.

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the script

Save to agent.ts and run with npx tsx agent.ts

Explore tools

The SDK discovers 11 tools from Buildkite and passes them to the LLM

Why Use Vercel AI SDK with the Buildkite MCP Server

Vercel AI SDK provides unique advantages when paired with Buildkite through the Model Context Protocol.

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Buildkite integration everywhere

Built-in streaming UI primitives let you display Buildkite tool results progressively in React, Svelte, or Vue components

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Buildkite + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Buildkite MCP Server delivers measurable value.

AI-powered web apps: build dashboards that query Buildkite in real-time and stream results to the UI with zero loading states

API backends: create serverless endpoints that orchestrate Buildkite tools and return structured JSON responses to any frontend

Chatbots with tool use: embed Buildkite capabilities into conversational interfaces with streaming responses and tool call visibility

Internal tools: build admin panels where team members interact with Buildkite through natural language queries

Buildkite MCP Tools for Vercel AI SDK (11)

These 11 tools become available when you connect Buildkite to Vercel AI SDK via MCP:

cancel_build

Cancel a running build

create_build

Trigger a new build for a pipeline

get_access_token_info

Retrieve information about the current API token

get_build

Get details of a specific build

get_pipeline

Get details of a specific pipeline

list_agents

List all build agents in the organization

list_all_builds

List all builds across the entire organization

list_organizations

List all organizations the token has access to

list_pipeline_builds

List builds for a specific pipeline

list_pipelines

List all pipelines in the organization

rebuild

Rebuild a specific build

Example Prompts for Buildkite in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Buildkite immediately.

"What recent builds ran on our production pipeline?"

"Cancel build #205 because of a wrong commit."

"Trigger a new build on HEAD of the main branch for our react-app."

Troubleshooting Buildkite MCP Server with Vercel AI SDK

Common issues when connecting Buildkite to Vercel AI SDK through the Vinkius, and how to resolve them.

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Buildkite + Vercel AI SDK FAQ

Common questions about integrating Buildkite MCP Server with Vercel AI SDK.

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.