DevSecOps teams can now manage coding agents as a tenant rather than another vault where secrets might be stored, ensuring credentials are never exposed to an AI agent or LLM as plain text. The MCP server does not read or return secret values through the MCP channel, allowing Codex to create environments and invoke applications while the values themselves never leave the 1Password vault.
Cursor’s New SDK Turns AI Coding Agents Into Deployable Infrastructure
Cursor’s TypeScript SDK lets teams invoke AI coding agents programmatically from CI/CD pipelines, with sandboxed VMs, MCP support, and token-based pricing.
SUSE Extends AI Agent Reach via MCP Server Integration
SUSE collaborates with AWS, n8n, and others to enable AI agents to manage IT infrastructure via Model Context Protocol (MCP) integrations in Rancher Prime and SUSE Multi-Linux Manager.
Grafana Labs Extends Observability Reach Deeper Into AI
Grafana Labs debuts Grafana 13, a specialized AI application observability platform, and an MCP-powered AI agent at GrafanaCON 2026 to streamline telemetry across complex cloud-native environments.
DBmaestro Introduces Agentic Database DevOps with MCP Server
Transforming Natural Language into Governed Platform Workflows Orlando, FL, April 7, 2026 – DBmaestro, the leading database DevSecOps platform, today announced the launch of its Model Context Protocol (MCP) server, making DBmaestro the first database DevOps platform purpose-built for agentic AI workflows. The DBmaestro MCP server exposes the company’s industry-leading database release automation, source control, […]
Context Engineering is the Key to Unlocking AI Agents in DevOps
Explore how context engineering is essential for transforming AI agents from experimental prototypes to reliable production tools in DevOps. Understand its impact on automation workflows, accuracy, and scalability.
Google Launches Developer Knowledge API to Give AI Tools Access to Official Documentation
Google’s new Developer Knowledge API and MCP server provide AI assistants with direct access to up-to-date Google developer documentation.
MCP-Powered Agentic AI in DevOps: Building Secure, Scalable Multi-Agent Pipelines for Autonomous SRE and Observability
Discover how model context protocol (MCP) powered agentic AI is transforming DevOps by enhancing resilience and efficiency in cloud-native environments. Learn about the challenges, benefits, and real-world applications of autonomous multi-agent systems.
AWS Sage: Your AI Assistant’s Gateway to the Cloud
AWS Sage is an open-source MCP server that gives AI assistants unified, intelligent access to AWS with cross-service discovery, dependency mapping, impact analysis, and automated incident investigation.
MCP — A Protocol for SREs
The Model Context Protocol (MCP) standardizes how AI agents access tools, APIs and data. Learn how SREs can leverage MCP to build smarter, automated workflows.