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How to Use the Buildkite MCP in OpenAI Agents SDK

Trigger Buildkite builds and manage agents safely inside your OpenAI Agents SDK production workflows.

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OpenAI Agents SDK

Connect Buildkite MCP to OpenAI Agents SDK

Create your Vinkius account to connect Buildkite to OpenAI Agents 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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Trigger and rebuild pipelines from OpenAI Agents SDK

When a deployment fails, your OpenAI Agents SDK agent calls `rebuild` to retry the Buildkite run. It can also kick off a new run using `create_build` based on triggers inside your OpenAI Agents SDK code. If a run goes sideways, your OpenAI Agents SDK script uses `cancel_build` to stop the Buildkite agent instantly. This prevents runaway cloud costs in your automated Buildkite testing pipeline managed by OpenAI Agents SDK.

Monitor agents and build status via OpenAI Agents SDK

Your OpenAI Agents SDK loop can check active workers by calling `list_agents` to monitor your Buildkite infrastructure. This ensures your Buildkite queue isn't backed up before your OpenAI Agents SDK pushes new code. Before triggering any Buildkite jobs, the OpenAI Agents SDK agent runs `get_access_token_info` to verify its Buildkite permissions. This keeps your Buildkite deployment pipelines safe and audited inside the OpenAI Agents SDK tracing dashboard.

Inspect runs using this Buildkite MCP Server

This Buildkite MCP Server lets your OpenAI Agents SDK agent fetch run details via `get_build` to diagnose test failures. It can also pull history using `list_pipeline_builds` to find when a bug was introduced to your Buildkite setup. Because the OpenAI Agents SDK supports strict guardrails, you can block the agent from querying `list_all_builds` across other Buildkite organizations. This keeps your corporate Buildkite data secure within your OpenAI Agents SDK environment.

Setup guide

Set up Buildkite MCP in OpenAI Agents SDK

Prerequisites

  • Python 3.10+ installed
  • openai-agents package (pip install openai-agents)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install the SDK

    Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.

  2. 2

    Connect via SSE transport

    Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Buildkite tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives Buildkite tools as native definitions — JSON schemas resolve automatically.

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Buildkite tools and returns structured results. Copy the full example on the right to get started.

agent.py
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Buildkite Agent",
            instructions="You have access to Buildkite tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Buildkite. 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

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

Built-in savings

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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 Buildkite MCP in OpenAI Agents SDK

Install `openai-agents` and instantiate the MCPServerStreamableHttp class with your Vinkius endpoint for Buildkite to connect it to your OpenAI Agents SDK.
Yes, your OpenAI Agents SDK system can call `create_build` to start a Buildkite run whenever a trigger condition is met.
Yes, you can configure your OpenAI Agents SDK agent to call `cancel_build` if a Buildkite run hangs.
You can restrict tool access by setting up guardrails in your OpenAI Agents SDK configuration to intercept Buildkite MCP tool calls.
Vinkius runs the server in an isolated sandbox where your Buildkite API tokens are encrypted, ensuring your OpenAI Agents SDK never exposes them.

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