Operations | Monitoring | ITSM | DevOps | Cloud

Harness's MCP Server provides a unified interface for AI agents to interact with Harness's comprehensive suite of DevOps tools and services. The Harness MCP server brings the power of Harness's 150+ DevOps tools directly into your IDE, creating a high level of automation for DevOps, Testing, Security, and FinOps.

Harness AI SRE is a comprehensive incident management system that uses AI to enable teams to detect, respond to, and resolve incidents efficiently. It integrates with various monitoring, alerting, and collaboration tools to provide a seamless incident resolution workflow.

Nothing drains developer productivity like codebase maintenance. The endless cycle of dependency upgrades, bug fixes, refactoring, and paying down technical debt is tedious, error-prone work that pulls engineers away from building new features. Harness Autonomous Code Maintenance (ACM) turns these manual chores into automated, intent-driven workflows. Developers can now state their intent in plain English, with prompts like, "Upgrade the front end from React 15.6 to 16.4". From there, the Harness AI agent drives the workflow.

Many software engineers are experts in application code but not in the nuances of creating a production-ready delivery pipeline. Architect Mode acts as a seasoned DevOps expert, engaging the user in a conversation to design a pipeline that incorporates organizational best practices for security, quality, and compliance from the very beginning. It’s like having a personal DevOps architect as a partner.

The integration of Amazon Kiro and Harness’s MCP server enables developers to manage, troubleshoot, and optimize CI/CD pipelines directly from their IDE using natural language, dramatically reducing manual effort and accelerating software delivery from code generation to production.

Our first AI/ML capability, Continuous Verification, made Harness the first Continuous Delivery tool to understand observability telemetry and trigger rollbacks when deployments caused trouble. We knew we could do more to eliminate the friction involved in its setup. Deploying with confidence shouldn't require a coordination meeting between DevOps, SREs, and developers just to configure the right health checks. That’s why we’re introducing the next generation: AI Verification and Rollback. We’ve moved beyond just AI-powered analysis to AI-powered setup.

The Harness IDP Agent helps users quickly find information and take action by guiding them through complex service, infrastructure, or IDP platform workflows. For instance, requesting a new EC2 instance triggers the agent to prompt for required inputs, validate them, and execute the appropriate pipelines.