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 OpenAI Agents SDK 11 tools — connect in under 2 minutes

Name: Buildkite
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 11 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Buildkite through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Buildkite Assistant",
            instructions=(
                "You help users interact with Buildkite. "
                "You have access to 11 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Buildkite"
        )
        print(result.final_output)

asyncio.run(main())

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

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 OpenAI Agents SDK auto-discovers all 11 tools from Buildkite through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Buildkite, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the Buildkite MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 11 tools from Buildkite

Why Use OpenAI Agents SDK with the Buildkite MCP Server

OpenAI Agents SDK provides unique advantages when paired with Buildkite through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Buildkite + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Buildkite MCP Server delivers measurable value.

Automated workflows: build agents that query Buildkite, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Buildkite, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Buildkite tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Buildkite to resolve tickets, look up records, and update statuses without human intervention

Buildkite MCP Tools for OpenAI Agents SDK (11)

These 11 tools become available when you connect Buildkite to OpenAI Agents 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK

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

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Buildkite + OpenAI Agents SDK FAQ

Common questions about integrating Buildkite MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.