ZigiOps adds MCP to securely connect Claude with live enterprise systems
ZigiWave has announced the launch of the ZigiOps MCP solution, a new capability that enables large language models like Claude and ChatGPT 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.
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.
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.
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:
Teams interested in exploring how ZigiOps can connect their own tools to AI models Claude can also book a short demo to see MCP in action with their environments.
Frequently asked questions
Which AI tools are supported in ZigiOps MCP?
ZigiOps MCP currently supports AI models such as Claude and ChatGPT. Any AI assistant that implements the Model Context Protocol can securely connect to enterprise systems through ZigiOps, with additional MCP-compatible models supported as adoption expands.
What enterprise systems can AI query through ZigiOps MCP?
AI models can query any system already connected to ZigiOps, including ITSM, DevOps, monitoring, and cloud platforms such as Jira, ServiceNow, Azure DevOps, and many others. Access is limited strictly to the systems and data explicitly approved by the organization.
Does ZigiOps store or cache any data accessed by AI models?
No. ZigiOps does not store, cache, or replicate any data. All requests are executed in real time against the source systems, and responses are returned directly to the AI model only for the duration of the query.
Is coding required to connect AI models to enterprise systems using ZigiOps MCP?
No. MCP access is enabled entirely through the ZigiOps UI. There is no need to write code, build custom connectors, or manually manage APIs. ZigiOps handles authentication, validation, and secure access automatically.