# Buildkite MCP for AI Agents AI Agent Connect

> Buildkite MCP lets you manage your CI/CD pipelines, trigger builds, and monitor agents directly through your AI client. It connects your Buildkite account so you can handle deployments and build statuses with natural language instead of switching between tabs and terminals.

## Overview
- **Category:** ship-it
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_iJnzptPh1up5uFxxYPxktlrRgHppLRL6cNlatVoW/ai-agent-connect
- **Tags:** ci-cd, pipeline-automation, deployment, build-management, devops

## Description

This Buildkite MCP lets you manage your CI/CD pipelines and builds directly through your AI client. Instead of jumping between your code editor and a web dashboard, you can handle deployments, check build statuses, and manage your runners using natural language. It's designed to keep you in your flow state by bringing the Buildkite interface into your existing workspace. Because it's available in the Vinkius catalog, you can get it set up quickly and start using it as your primary command center for build operations. You can ask your agent to find a specific pipeline, trigger a new test run on a branch, or see which build agents are currently online. If a build gets stuck or you need to retry a failed execution, you just tell your agent to do it. It takes the friction out of monitoring your infrastructure so you can spend more time actually shipping code. You don't have to worry about memorizing specific URLs or navigating complex menus. You just talk to your agent about what needs to happen with your builds, and the Connector handles the communication with the Buildkite API. It's about making your CI/CD workflow feel like a conversation rather than a series of manual clicks.

## Tools

### cancel_build
Stop a running build immediately to free up resources or stop a bad deployment. This is useful for clearing stuck jobs quickly.

### create_build
Start a new build execution for a specific pipeline using natural language. You can use this to trigger tests on demand.

### get_access_token_info
Check the status and details of your current Buildkite API token. This helps ensure your credentials are valid.

### get_build
Pull specific details and status for a single build execution. Use this to see why a specific job failed.

### list_all_builds
Get a complete list of every build across your entire organization. This provides a high level view of all activity.

### list_organizations
See all organizations that your current API token has permission to access. This is useful for multi-org management.

### list_pipeline_builds
View all builds associated with a specific pipeline. Use this to check the history of a single project.

### list_pipelines
Get a full list of all pipelines within your organization. This lets you see every project your team manages.

### rebuild
Trigger a new run for a specific build that previously failed. This helps you quickly retry jobs that didn't finish.

### get_pipeline
Retrieve the configuration and details for a specific pipeline. This helps you understand your current CI/CD setup.

### list_agents
See all build agents in your organization and check their current status. Use this to monitor your runner fleet.

## Prompt Examples

**Prompt:** 
```
Show me the status of the last 3 builds on the 'production-api' pipeline.
```

**Response:** 
```
I've pulled the latest history for the production-api pipeline. Here is the summary:

| Build ID | Status | Branch | Time |
| :--- | :--- | :--- | :--- |
| #402 | ✅ Passed | main | 2 mins ago |
| #401 | ✅ Passed | main | 15 mins ago |
| #400 | ❌ Failed | hotfix-auth | 45 mins ago |

Would you like me to pull the logs for build #400?
```

**Prompt:** 
```
Cancel the build that's been running for over 20 minutes.
```

**Response:** 
```
I've located the build (#402) that's been running since 10:15 AM. I've sent the cancellation command, and the runner has been freed up. You can now trigger a new run if needed.
```

**Prompt:** 
```
Are any of our build agents currently offline?
```

**Response:** 
```
I checked your organization's agents. Here is the current status:

* **Active Runners:** 14
* **Offline Runners:** 2

I can ping the offline runners for you if you'd like to see if they come back online.
```

## Capabilities

### Trigger new builds
Start a new build execution for a specific pipeline using natural language.

### Cancel hanging builds
Stop a running build immediately to free up resources or stop a bad deployment.

### View build details
Pull specific details and status for a single build execution.

### Monitor agent health
See all build agents in your organization and check their current status.

### List all pipelines
Get a full list of all pipelines within your organization.

### Rebuild failed jobs
Trigger a new run for a specific build that previously failed.

## Use Cases

### Stop a hung build
A build hangs at 50%. The dev asks the agent to find the stuck build and use cancel_build to clear the runner.

### Ad-hoc testing
An engineer wants to test a fix. They ask the agent to use create_build for the staging pipeline on their current branch.

### Status check
A lead wants to know the health of the frontend project. They ask the agent to use list_pipeline_builds and summarize the last 5 results.

### Agent health check
A DevOps person notices slow builds. They ask the agent to use list_agents to see if any runners are offline.

## Benefits

- Stop tab switching by managing builds directly within your AI client instead of a web dashboard.
- Faster troubleshooting with get_build and get_pipeline to see exactly why a job failed.
- Better resource management by using cancel_build to stop stuck processes immediately.
- Easier agent monitoring with list_agents to ensure your build runners are online.
- Quicker deployments by triggering new runs with create_build from your terminal or IDE.
- Clearer team visibility by using list_all_builds to see the state of all company projects at once.

## How It Works

The bottom line is you stop tab switching and start managing builds via natural conversation.

1. Subscribe to the Connector and grab your Buildkite API Token and Organization Slug.
2. Input those credentials into your AI client settings.
3. Ask your agent to list pipelines or trigger builds to start managing your CI/CD.

## Frequently Asked Questions

**Can I use the Buildkite MCP to start new builds?**
Yes, it can trigger new build executions for any of your pipelines using natural language commands.

**How does the Buildkite MCP help with failed deployments?**
It lets you quickly retrieve specific build details to see exactly where a job failed, helping you troubleshoot faster.

**Can I manage multiple organizations with the Buildkite MCP?**
Yes, the Connector can list all organizations that your current API token has permission to access.

**Does the Buildkite MCP work with my current AI client?**
It works with any MCP-compatible client, including Claude, Cursor, and Windsurf.

**Can I see which agents are running in my Buildkite account?**
Yes, it can list all agents in your organization and provide their current status in real time.

**Is the Buildkite MCP good for DevOps teams?**
It is an excellent tool for DevOps teams because it centralizes build management and agent monitoring in a single chat interface.

**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.