Zigiwave Partnership: Introducing ZigiOps MCP: Connecting Claude to Enterprise Systems

ZigiWave’s new ZigiOps MCP solution lets AI models like Claude and ChatGPT securely access live enterprise systems in real time, without code or data storage. Design Industries helps organizations design, implement, and govern MCP-powered integrations so teams can unlock secure AI-assisted operations with tools like Jira while maintaining full control over access, security, and compliance.

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Zigiwave Partnership: Introducing ZigiOps MCP: Connecting Claude to Enterprise Systems
ZigiWave has announced the launch of the ZigiOps MCP solution, a groundbreaking capability that enables large language models like Claude and ChatGPT to securely access enterprise systems in real time, without writing code or storing data. While the release of ZigiOps MCP unlocks powerful new ways for AI models to interact with enterprise systems, realizing its full value requires more than just enabling the technology.
Design Industries, as an experienced integration and automation partner, helps organizations operationalize ZigiOps MCP in a secure, scalable, and outcome-driven way. As a trusted partner, Design Industries supports clients across the full lifecycle—from strategy and design through to implementation and optimization—ensuring MCP-driven AI access delivers real operational impact rather than experimentation alone.

What is the Model Context Protocol (MCP)?

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.
🔑 Key Advantages of MCP
Advantage Benefit
Real-Time Access AI queries live systems and receives current data instantly, no delays or stale information
No Code Required MCP is enabled from the ZigiOps UI; no custom development or API integrations needed
Zero Data Storage Data is fetched on demand, validated, and returned instantly; nothing is cached or stored externally
Full Control & Governance Organisations control what data is exposed and who can access it through auditable, governed endpoints
Secure & Compliant ZigiOps handles authentication, validation, and security; AI models never see credentials
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 to the AI model instantly. No information is stored, cached, or copied outside the source systems.

ZigiOps MCP in Action: Connecting Claude to Your Enterprise Systems

ZigiWave has released a detailed video walkthrough demonstrating 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 summarise live data without storing any information.
💡 How MCP Connects AI to Enterprise Systems
1. Enable MCP in ZigiOps UI — Create a secure endpoint with no code required

2. Add Custom Connector to Claude — Paste the MCP URL into Claude's settings to activate ZigiOps as a custom connector

3. Claude Queries Live Systems — AI requests data from enterprise tools (Jira, ServiceNow, etc.) in real time through ZigiOps

4. ZigiOps Validates & Returns Data — ZigiOps authenticates the request, fetches current data, and returns results instantly

5. Claude Analyses & Summarises — AI provides insights, summaries, or recommendations based on live system 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.
🎯 Real-World Example: Jira Insights Through Claude
In the video demonstration, Claude queries the Jira KAMI project through ZigiOps MCP and returns a real-time, contextual summary of project issues and key insights—without storing any data. Users can ask natural-language questions about their work, and Claude retrieves the latest answers directly from Jira. This approach eliminates the need for manual status reports, static dashboards, or complex custom scripts.
This capability extends beyond Jira. Organisations can connect ServiceNow, Confluence, GitHub, Azure DevOps, and other enterprise tools to Claude through the same MCP interface, enabling AI to assist with incident management, documentation queries, code insights, and operational intelligence—all in real time, all securely governed.

The Broader Shift: AI-Assisted Operations

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.
🔑 How AI-Assisted Operations Change Team Workflows
 
Faster Insights
Real-Time Answers
Instead of running reports or searching manually, teams ask Claude questions and get live answers in seconds.
 
Less Manual Work
Automated Summaries
Routine queries and status summaries are generated automatically by AI, freeing teams for higher-value work.
 
Better Decisions
Contextual Analysis
AI provides analysis and recommendations based on complete, current data from source systems.
The result is a transformative shift in IT operations: teams transition from static reporting and manual queries to AI-assisted, real-time operational intelligence. And because MCP and ZigiOps work with no code and full governance, organisations can adopt this capability without compromising security, compliance, or control.

Design Industries: Your Partner in MCP Implementation

The combination of ZigiOps MCP and Design Industries' integration expertise allows organisations to safely move from static reporting and manual queries to AI-assisted, real-time operational intelligence—without compromising security, compliance, or control.
As a trusted ZigiWave partner, Design Industries has deep experience implementing integration platforms at scale. We understand the strategic, technical, and organisational considerations that determine whether AI capabilities deliver measurable value or remain interesting experiments.
🏁 How Design Industries Helps Organisations Succeed with MCP
Phase What We Do
Strategy & Discovery Assess which systems and workflows benefit most from MCP-powered AI access; align to business outcomes
Design & Architecture Design secure MCP endpoints, governance frameworks, and access controls aligned with organisational policy
Implementation Enable MCP in ZigiOps, configure AI models (Claude, ChatGPT), test live connections, and validate security
Optimization & Support Monitor usage, refine workflows, expand MCP use cases, and ensure ongoing value delivery
For teams looking to explore MCP in their own environments, Design Industries can guide the journey from initial discovery through live deployment, ensuring the technology delivers measurable value from day one.
MCP is not about replacing teams with AI.
It's about empowering teams to work smarter, faster, and with access to real-time operational intelligence.

Getting Started with ZigiOps MCP

Organisations interested in exploring MCP have two immediate paths:
✅ Next Steps: Learn About MCP in Action
Watch the ZigiOps MCP Video — See the complete setup and live demo showing how Claude connects to Jira through ZigiOps MCP, with no code, no data storage, and full security.

Book a Demo with Design Industries — Discuss how MCP can connect your specific tools to AI models, understand the governance framework, and explore real-world use cases aligned to your operations.
Whether you're looking to streamline incident management, provide AI-assisted DevOps insights, enhance service reporting, or unlock entirely new AI use cases, the combination of ZigiOps MCP and Design Industries' expertise ensures you move from innovation to operational impact—securely and at scale.

Turn MCP into Real Operational Value

ZigiOps MCP enables AI models like Claude and ChatGPT to securely access live enterprise systems—but unlocking real value requires the right integration strategy and governance. Design Industries helps organisations design, implement, and optimise MCP-powered AI use cases, from Jira insights and service reporting to AI-assisted DevOps workflows.
About Design Industries Design Industries is an integration and automation partner serving enterprises across Australia. As a trusted ZigiWave partner, we help organizations implement MCP-powered AI access alongside enterprise integration platforms, ensuring secure, scalable, and outcome-driven deployments that deliver real operational value from day one.
About ZigiOps MCP ZigiOps is a no-code integration platform that enables real-time synchronization between enterprise systems. The Model Context Protocol (MCP) integration allows AI models like Claude and ChatGPT to securely query live systems without storing data or requiring custom development. Learn more at zigiwave.com.
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