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Let AI manage Harness CI/CD, GitOps, feature flags, and cost data.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Harness MCP Server" yet — see the docs or source repo.
Using the Harness MCP Server, list CI/CD pipelines that failed in the last 24 hours, group them by project, summarize failure counts, and analyze the top 3 most frequently failing pipelines with likely causes and next troubleshooting steps.
A list of failed pipelines, project-level summaries, and troubleshooting recommendations for the most problematic pipelines.
Use the Harness MCP Server to review all feature flags in production, identify flags that have been enabled too long, use inconsistent naming, or lack ownership details, and generate a cleanup recommendation list.
A feature flag audit report with flagged items, issue descriptions, and cleanup recommendations.
With the Harness MCP Server, fetch cloud cost data for the last 30 days, summarize it by team and service, identify the fastest-growing cost areas, and propose 3 actionable optimization recommendations.
A cost analysis summary highlighting major growth areas and practical recommendations to reduce spending.
Give AI agents unified access to Harness for deployment and DevOps workflows.
Manage continuous delivery workflows and monitor cloud costs through Harness.
Build AI agents quickly with a model-driven approach and minimal code.
Expose internal agent tools as a standard MCP server for unified access.
Let AI work with GitHub repos, issues, pull requests, and code workflows.
Expose Linux host tools over HTTPS for remote command execution and file management.