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Give AI agents unified access to Harness for deployment and DevOps workflows.
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.
Connect to the Harness MCP Server, list all projects, services, and pipelines in my account, and summarize the current resource structure grouped by environment.
A structured inventory of Harness resources, summarizing projects, services, and pipelines by environment.
Using the Harness MCP Server, review production deployments from the last 24 hours, identify failed pipeline executions, and summarize failed steps, error messages, and likely causes.
A list of failed deployments with key steps, error summaries, and troubleshooting suggestions for each.
Use the Harness MCP Server to compare a service's release configuration from staging to production, identify risks in approvals, environment variables, and deployment strategy, and suggest improvements.
A configuration diff analysis, risk checklist, and recommendations to improve the release workflow.
Let AI manage Harness CI/CD, GitOps, feature flags, and cost data.
Manage continuous delivery workflows and monitor cloud costs through Harness.
Expose internal agent tools as a standard MCP server for unified access.
Create, manage, and compose AI agents for MCP-compatible clients and tools.
Expose GitHub search, issue handling, and PR review to AI agents.
Orchestrate multiple AI agents in real time and monitor tasks and artifacts.