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 Google ADK 11 tools — connect in under 2 minutes

Name: Buildkite
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 11 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Buildkite as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

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

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="buildkite_agent",
    instruction=(
        "You help users interact with Buildkite "
        "using 11 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Google ADK natively supports Buildkite as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 11 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the Buildkite MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 11 tools from Buildkite via MCP

Why Use Google ADK with the Buildkite MCP Server

Google ADK provides unique advantages when paired with Buildkite through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Buildkite

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Buildkite tools with BigQuery, Vertex AI, and Cloud Functions

Buildkite + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Buildkite MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Buildkite and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Buildkite tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Buildkite regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Buildkite

Buildkite MCP Tools for Google ADK (11)

These 11 tools become available when you connect Buildkite to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

Common issues when connecting Buildkite to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Buildkite + Google ADK FAQ

Common questions about integrating Buildkite MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.