December 18, 2025

ZigiWave Introduces ZigiOps MCP Solution for Secure AI-to-System Connectivity

ZigiOps adds MCP for secure AI-to-system connectivity

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ZigiOps
MCP
AI

ZigiWave has announced the launch of the ZigiOps MCP solution, a new capability that enables large language models like Claude to securely access enterprise systems in real time, without writing code or storing data.

The Model Context Protocol (MCP) allows AI assistants to query live operational systems through ZigiOps, acting as a secure, controlled bridge between AI and enterprise tools. With MCP enabled, organizations can safely expose selected systems to AI models while maintaining full control over access, security, and data flow.

Unlike traditional AI integrations that rely on data replication or custom development, the ZigiOps MCP solution works entirely in real time. Data is fetched only when requested, validated by ZigiOps, and returned instantly to the AI model. No information is stored, cached, or copied outside the source systems.

Enabling MCP access in ZigiOps instantly creates a secure endpoint that allows AI models to query live systems in real time.

To demonstrate how it works, ZigiWave has released a new video walkthrough showing how to connect ZigiOps with Claude AI using MCP. In the video, viewers can see how easily MCP access is enabled from the ZigiOps UI, how ZigiOps appears as a custom connector inside Claude, and how Claude can securely query systems such as Jira to retrieve and summarize live data.

ZigiOps appears as a custom MCP connector inside Claude, requiring no authentication setup or coding.

The walkthrough highlights a key shift in how AI can be used in IT operations. Instead of relying on static datasets or complex custom integrations, AI can now interact with real systems through governed, auditable, and no-code connections. ZigiOps handles authentication, API calls, and validation behind the scenes, while the AI focuses on analysis and insights.

Claude queries Jira through ZigiOps MCP and returns a real-time summary of project issues and insights without storing any data.

This release reflects a broader industry trend toward AI-assisted operations, where language models augment IT, DevOps, and service management teams by providing fast answers directly from source systems. By combining MCP with its no-code integration platform, ZigiOps enables this model without introducing new security or compliance risks.

The full video is now available and walks through the complete setup and live demo:
Watch the ZigiOps MCP video.

Teams interested in exploring how ZigiOps can connect their own tools to AI models can also book a short demo to see MCP in action with their environments.

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