- STATUS
- DRILLDOWN
- SUMMARY
- HUMAN
Short answer
How can I check my CircleCI pipeline status with AI?
Your agent uses CircleCI data to pull recent pipeline lists and specific workflow details. You get a clear view of what's running, what failed, and where things stand in your deployment cycle.
Where every update lands.
Deployment visibility outcomes
Your agent turns raw CI data into actionable status reports.
STATUS
Real-time health checks
The AI pulls the latest pipeline runs to show you which builds are active or finished. You'll see exactly which parts of your delivery cycle are moving.
DRILLDOWN
Detailed workflow inspection
When a build looks off, your agent fetches specific workflow data. This gives you the granular details needed to spot a bottleneck.
SUMMARY
High-level activity logs
Instead of scrolling through logs, ask for a summary of recent activity. Your agent condenses the history into a readable overview.
HUMAN
Manual intervention needed
The AI identifies failed steps or stuck workflows. It flags these for you so you can jump in and fix the code or configuration.
The workflow
What your AI does when the request arrives.
The agent acts as a bridge between your chat and your CircleCI environment.
Fetch pipeline history
The agent looks up the most recent pipeline runs for your specified projects.
list_cci_pipelinesAnalyze workflow state
It digs into the specific status of individual workflows to find errors.
get_workflow_detailsIdentify failures
The agent compares successful runs against recent failures to highlight regressions.
get_workflow_detailsReport findings
The agent presents a clean summary of the deployment status in your chat window.
list_cci_pipelines
Try it
Copy these to start.
Use these prompts to begin auditing your builds.
Starting points
Swap out the project names and workflow IDs with your actual CircleCI identifiers.
CircleCI Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_RYNFniMxh53CKeYToBM2UNUbXRz4n2cftwtxDiON/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — CircleCI capabilities are ready to use.
{
"mcpServers": {
"circleci-mcp": {
"url": "https://edge.vinkius.com/vk_preview_RYNFniMxh53CKeYToBM2UNUbXRz4n2cftwtxDiON/mcp"
}
}
}Show me the status of the last five pipelines for the frontend-app project.
Check the details for the most recent workflow in the api-service repo.
Did any pipelines fail in the last hour for the mobile-ios project?
Summarize the progress of the current deployment workflow for the web-platform.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect CircleCI once, then ask.
Just link your account once. Your credentials stay encrypted, and you can immediately start asking questions about your builds.
Connect CircleCI to your AIFAQ
How the audit task behaves
- 01
Can the AI trigger a new build?
No. This MCP is designed for reading and auditing status, not for executing new pipeline runs.
- 02
Can the AI fix my broken code?
No. The AI can identify where a workflow failed, but you must manually fix the code in your repository.
- 03
Does the AI see all my CircleCI projects?
The AI can see any project your authenticated user has permission to access.
- 04
Can the AI delete old pipelines?
No. The available tools only allow for retrieving information, not modifying or deleting CI data.
- 05
How does the AI know which project to check?
You tell the agent which project or repository you are interested in during your chat.
More questions about CircleCI? The Connector page answers them. See everything the CircleCI Connector can do
Connect CircleCI to Claude, Cursor, ChatGPT & more
