Akuity Enhances AI Agents with Operational Context for Secure Software Delivery

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Akuity has launched its Agentic Control Plane and MCP Server, introducing a framework that enables AI agents to execute software delivery tasks with contextual awareness and controlled permissions.

Akuity’s Agentic Control Plane and MCP Server

Akuity has launched its Agentic Control Plane and MCP Server, introducing a framework that enables AI agents to execute software delivery tasks with contextual awareness and controlled permissions. This system integrates governance mechanisms already applied throughout the development pipeline, allowing engineering teams to grant agents access to production environments while maintaining strict oversight of their activities.

Challenges in AI-Driven Software Deployment

The platform addresses challenges arising from the increasing use of AI in software engineering, where the volume of code generated exceeds the capacity to deploy it securely. Agents currently operate within production systems, often without sufficient data access or proper security controls, leading to potential vulnerabilities. Many utilize open-source MCP servers that provide unrestricted access without identity tracking, policy enforcement, or audit capabilities, exacerbating risks with each connection.

“Early implementation of the Agentic Control Plane demonstrated rapid identification of critical issues, including over 100 degraded applications and systemic failures traced to root causes within minutes.”

Real-World Impact

A DevOps engineer at MLB reported that the system immediately delivered actionable insights, with plans to expand its use across the organization. The evolution of AI in software delivery now extends beyond code generation to managing infrastructure changes, regardless of existing safeguards.

“Success in this phase will depend on providing agents with secure, reliable pathways for execution rather than mere speed of adoption,” said Akuity’s CEO.

Key Features of the Agentic Control Plane

The Agentic Control Plane distinguishes itself from point solutions by directly managing the software delivery pipeline, capturing deployment history, cluster health metrics, and change lineage that alternative systems lack. The MCP Server facilitates secure access for AI agents, whether internal or third-party tools like Claude, Codex, or Cursor, to interact with the Akuity Platform. This includes visibility into cluster status and specific deployment commits. All agent requests pass through the Agentic Control Plane, which authenticates each action against the user’s identity and permissions.

Core Capabilities

Comprehensive operational context extending beyond application data, incorporating infrastructure health and fleet-wide change history to enable real-time incident resolution.
Trusted guardrails for engineering leadership, ensuring all agent activities adhere to identity, permission, and audit protocols.
A policy layer restricts access to critical production actions even if the underlying user has broader privileges.
Single-point authentication eliminating the need for separate credentials or endpoints, as user permissions are consistently applied across all managed instances.

Benefits for Customers

Customers using the platform can achieve: Centralized visibility without additional overhead, allowing queries to span multiple clusters simultaneously. Rapid service deployment, with agents capable of establishing full delivery pipelines for new services in hours rather than weeks. Seamless release promotion through chat interfaces, where agents verify eligibility and execute approvals while maintaining existing governance rules. Agent-assisted troubleshooting, enabling direct communication between agents and on-call systems to analyze logs and recent changes for issue resolution.

Conclusion

The solution aims to address the growing complexity of AI-driven software delivery by combining operational awareness with strict security controls, ensuring agents contribute to efficiency without compromising system integrity.