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Monitor infrastructure drift and execute audited AI operations from one secure control plane.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "aiops-mcp" yet — see the docs or source repo.
Connect to my AIOps MCP service, scan for drift between the current service fleet and desired configuration, list issues by severity, and suggest a remediation order.
A drift report ranked by severity with issue details, impact scope, and recommended remediation steps.
Based on the detected high-risk drift, create an auditable remediation plan; first show the actions, risks, and rollback plan, then execute in tiers after confirmation.
An auditable remediation plan and execution result including approval checkpoints, action logs, and rollback details.
Summarize the current AI operations control plane status, including asset timelines, configuration changes, drift trends, and recently executed automations, in a format suitable for a daily standup.
A concise operations status summary covering key changes, risk trends, and recent action history.
Use AI-powered ops tools for monitoring, troubleshooting, and automation.
Connect OSSEC security monitoring to AI for alerts, host status, and event analysis.
Secure file and directory operations for autonomous AI development workflows.
Audit MCP configs for exposed access, secrets, models, and compliance AI-BOMs.
Build production-ready AI tools with security, auditability, data quality, and testing.
Route requests across MCP tools and combine results from multiple servers.