ZigiWave has released a new video demonstrating how ZigiOps connects ChatGPT to enterprise systems using the Model Context Protocol (MCP), enabling AI-powered insights directly from live operational data.

The video showcases how ZigiOps acts as a secure MCP provider for ChatGPT, allowing the AI model to request real-time context from enterprise tools through governed, no-code integrations. Instead of relying on static exports or preloaded datasets, ChatGPT can now work with up-to-date information fetched on demand, under full organizational control.

From AI Conversations to Context-Aware Answers

With MCP enabled in ZigiOps, ChatGPT gains structured access to selected enterprise systems through a controlled interface. ZigiOps manages authentication, permissions, and API communication behind the scenes, now including OAuth-based authorization, ensuring that every request is validated before any data is returned.

This approach allows teams to safely expose operational context to AI models while keeping existing security and compliance boundaries intact. Data is retrieved only when requested, used to answer the query, and never stored or persisted by ZigiOps.

No-Code MCP Access, Built for Enterprise IT

The walkthrough highlights how MCP access is enabled directly from the ZigiOps UI, without writing code or deploying custom middleware. Once configured, ChatGPT can interact with enterprise tools as a governed MCP endpoint, with ZigiOps enforcing access rules, OAuth authorization, and real-time validation.

This makes it possible for IT, DevOps, and service teams to use ChatGPT as an analytical layer on top of their systems, asking questions in natural language and receiving answers grounded in live data rather than assumptions or outdated snapshots.

A Practical Step Toward AI-Assisted Operations

Rather than positioning AI as a replacement for operational tools, the ZigiOps MCP model turns ChatGPT into a contextual assistant that works alongside existing platforms.  

By combining MCP with ZigiOps’ no-code integration engine, organizations can experiment with AI-driven operations without introducing new data risks or architectural complexity.

Teams interested in seeing how ChatGPT can securely interact with their own enterprise systems through MCP can explore the new video or book a short demo to see ZigiOps MCP in action.