Buildkite MCP. Manage builds, agents, and deployments from your chat.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Buildkite MCP automates your CI/CD pipeline management directly through natural conversation. Trigger builds, check the status of agents across your organization, and cancel stuck pipelines without leaving your chat window.
It gives you full control over your deployments from anywhere.
What your AI agents can do
Cancel build
Stops an ongoing build execution for a specific pipeline.
Create build
Starts a new, fresh build run for any defined pipeline.
Get access token info
Checks the details of your currently connected API token.
List every pipeline defined within the Buildkite organization so you can see which ones are active.
Start a fresh, ad-hoc build run for any specific pipeline using your AI agent.
Halt an active build immediately if it's stuck or based on outdated code.
Retrieve the full status, job list, and tracking links for any specific build ID.
Ping connected build agents globally to confirm their operational status across all environments.
Ask AI about this MCP
Supported MCP Clients
OAuth 2.0 Compatible Gemini Waiting for input…
Buildkite - 11 Tools for CI/CD Control
Use these tools to list pipelines, trigger builds, manage agents, and get granular details on every build execution in your Buildkite environment.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Buildkite on Vinkius019d7565cancel build
Stops an ongoing build execution for a specific pipeline.
019d7565create build
Starts a new, fresh build run for any defined pipeline.
019d7565get access token info
Checks the details of your currently connected API token.
019d7565get build
Retrieves detailed information about a specific build instance.
019d7565get pipeline
Gets the configuration and details for a single pipeline definition.
019d7565list agents
Lists every connected build agent available in your organization.
019d7565list all builds
Shows every recorded build across all pipelines and organizations.
019d7565list organizations
Lists all Buildkite organizations your API token has access to.
019d7565list pipeline builds
Shows a list of builds tied to one specific pipeline.
019d7565list pipelines
Lists all available pipelines within the current organization.
019d7565rebuild
Forces a re-run of a previously failed build.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Buildkite, then connect any of our 4,800+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,800+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
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.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
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Token Compression
~60% cost reduction
Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 11 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
The Dashboard Overload
Today, checking build status means logging into Buildkite, navigating through pipelines, clicking on a specific run ID, and then scrolling through job logs—all while trying to remember if the process is stuck or just slow. It's a cycle of clicks and context switching that kills flow.
With this MCP, you talk to your agent instead. You ask for the status, and it delivers the answer instantly. Your AI client takes over the tedious dashboard work, giving you direct control without ever needing to switch tabs.
Buildkite MCP: Full Build Control
You don't have to manually initiate anything. Your agent can list all pipelines and then immediately `create_build` on the one you need, or if something goes wrong, it can execute a single command to `cancel_build` before you even finish your sentence.
What changes is that managing complex CI/CD workflows now feels like sending a direct message. It's immediate, conversational, and comprehensive.
What you can do with this MCP connector
Managing continuous integration and deployment used to mean context-switching: jumping between Git dashboards, terminal sessions, and web consoles just to see if a commit passed or failing. Now, you can talk to your agent and get the status of every pipeline in one go. Need to check what happened with a specific build? Ask for it.
Want to run an ad-hoc test on a feature branch? Tell your AI client. You can list all active pipelines across your whole company, or drill down into the job details of any single build. If you spot a runaway process or a failed deployment, you can cancel it instantly.
It’s about having full visibility and immediate control over every stage of the software lifecycle. Because this MCP runs on Vinkius, you know that even when chaining Buildkite with other services—say, connecting it to an inventory system for pre-deployment checks—your credentials pass through a zero-trust proxy; your keys never sit on a disk, keeping everything secure.
019d7565-e350-724d-ace5-f6dac6a40203 
How Buildkite MCP Works
- 1 Connect your Buildkite API token and organization slug through the Vinkius platform.
- 2 Use your AI client to issue a command, like 'List all pipelines,' which tells the MCP what you need.
- 3 Your agent runs the request against Buildkite, and you get back real-time status updates or build details.
The bottom line is that your chat interface becomes your entire operations dashboard for CI/CD.
Who Is Buildkite MCP For?
The platform engineer who gets tired of juggling five different browser tabs just to confirm a deployment status. The software developer needing quick, on-demand test runs without touching the terminal.
Monitoring organizational health by listing all pipelines and checking agent status for potential bottlenecks.
Triggering specific builds on feature branches or canceling runs that started with a bad commit.
Getting a quick summary of failure rates across multiple pipelines before approving a merge to main.
What Changes When You Connect
- Stop manually navigating dashboards. You can list all pipelines using
list_pipelinesor check build status across the entire company in one conversation. - Need to test a hotfix right away? Use
create_buildto trigger a new run for any pipeline without opening your IDE. - Caught a broken process? Running
cancel_buildinstantly halts runaway jobs, saving compute time and preventing bad deployments. - Don't rely on memory. The
list_all_buildstool lets you check the history of every build ever run across all organizational pipelines. - Verify your infrastructure readiness by calling
list_agents, which pings your connected agents to confirm they are online and ready for action.
Real-World Use Cases
Debugging a failed deployment
A developer sees build #205 fail. Instead of clicking into the console, they ask their agent to check the details using get_build. The agent replies with job statuses and links to inspect exactly where the process broke.
Auditing company-wide activity
A tech lead needs to know what happened on all production pipelines. They use list_all_builds to get a comprehensive list, quickly identifying which teams have run builds recently and where the failures occurred.
Urgent manual re-test
A fix is deployed but fails testing in staging. The engineer uses rebuild on the specific pipeline to force a clean, repeatable test cycle immediately.
Scaling up agent monitoring
The ops team needs to check if all remote build runners are online before starting work. They use list_agents and get confirmation of every connected machine's status.
The Tradeoffs
Checking builds via the web UI
You open Buildkite, click 'Pipelines,' then click 'Builds,' filter by date, and finally copy the ID to another tool.
→
Just ask your agent. Use list_pipelines first to see what's available, then pass that info to the agent to get build status directly.
Relying on documentation
Trying to remember if you need to check an agent or a pipeline definition before running a job.
→
Always start by using list_pipelines and then get_pipeline for the exact details. This structured approach ensures you have all necessary context.
Copying IDs manually
Manually copying a build ID from one dashboard view to another service.
→
Let your agent handle it. Your AI client can correlate the request and automatically use get_build with the correct ID based on conversational context.
When It Fits, When It Doesn't
Use this MCP if you need visibility or control over the entire software release lifecycle, from initial commit to deployment readiness. If your goal is merely tracking usage metrics (e.g., 'how many builds ran last month'), a separate analytics tool might be better. However, if you need to act—if you must trigger a run, cancel a failure, or inspect the specific job logs of a build—this MCP handles it. Remember that while list_pipelines shows what exists and get_pipeline gives details, you still have to use actions like create_build or cancel_build to make changes.
Common Questions About Buildkite MCP
How do I check the status of my pipeline using Buildkite MCP? +
You can use list_pipelines to see what’s available, then ask your agent to get details on a specific one with get_pipeline. This gives you the current configuration and health checks.
Can I cancel a build using Buildkite MCP? +
Yes, use the cancel_build tool. You just need to identify the running build ID, and your agent handles sending the halt signal to Buildkite immediately.
What is the difference between list_all_builds and list_pipeline_builds? +
Using list_all_builds shows every run across your entire account, while list_pipeline_builds limits that view to builds associated only with one specific pipeline.
How do I start a test run using Buildkite MCP? +
Use the create_build tool. You just need to tell your agent which pipeline you want, and it will kick off a fresh build execution for testing.
How do I use `list_organizations` if my API token has access to multiple accounts? +
It immediately shows every organization your token can reach. This is key because you need to know which scope you're working in before running any other command.
Does `list_agents` give me the current operational status of my build agents? +
Yes, it provides a list of all connected build agents and their reported online or offline status. Use this to verify that your entire fleet is reachable before triggering anything.
What specific details can I pull about an instance using `get_build`? +
You get comprehensive data on a single build run, including the job list, final status, and tracking links. This allows you to pinpoint exactly where a failure occurred.
How can I use `get_pipeline` to view the structure of an existing workflow? +
The function retrieves the full definition and metadata for a specified pipeline. This lets you review the stages, dependencies, and overall configuration without needing access to the Buildkite UI.
Multi-server workflows that include Buildkite MCP
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MCP Workflow for Automated Release Notes
PRs merged, builds validated, changelogs written, release pages published , generate polished release notes without copy-pasting commits
MCP Workflow for Container Build Monitoring
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Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.