CircleCI - OpenClaw Skill — OpenClaw Tutorials

Install Command

npx clawhub@latest install circleci

Installation Guide

Check Environment

Make sure Node.js 22+ and OpenClaw are installed. Run openclaw --version in your terminal to verify.

Run Installation

Run the install command above in your terminal. ClawHub will automatically download and install CircleCI to the ~/.openclaw/skills/ directory.

Verify Installation

Run openclaw skills list to check your installed skills and confirm CircleCI appears in the list.

Configure (Optional)

Follow the configuration instructions in the description below to add skill settings to ~/.config/openclaw/openclaw.json5.

Manual Installation: Copy the Skill folder to ~/.openclaw/skills/ or the skills/ directory in your project root. Make sure the folder contains a SKILL.md file.

Pipeline triggering and status monitoring Workflow and job log analysis Intelligent build failure diagnosis

Detailed Description

CircleCI MCP server integrates the CircleCI continuous integration platform, enabling AI to trigger builds, view pipeline statuses, and analyze failure logs to accelerate CI/CD issue investigation and resolution.

Core Features

Pipeline Management: List project pipelines, view recent build records and statuses
Workflow Viewing (get_workflow): Get workflow details within a pipeline, including job execution order and statuses
Job Logs (get_job_logs): Get execution logs for specified jobs, containing output for each step
Pipeline Triggering (trigger_pipeline): Trigger new pipeline runs with branch and parameter specification
Failure Diagnosis: Analyze build failure log information, with AI automatically identifying error causes and providing fix suggestions

Configuration

{
  "mcpServers": {
    "circleci": {
      "command": "npx",
      "args": ["-y", "@circleci/mcp-server"],
      "env": {
        "CIRCLECI_TOKEN": "your-personal-api-token"
      }
    }
  }
}

Use Cases

Build troubleshooting: View detailed logs and error information for failed builds
Deployment management: Trigger and monitor deployment pipelines
CI optimization: Analyze job duration, optimize parallelism strategies and cache configuration
Status reporting: Aggregate build statuses across multiple projects for team reports

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