.png?width=211&height=52&name=Logos%20(1).png "Design Industries Atlassian Solution Partner Enterprise")
MCP INTEGRATION SERVICES BY DESIGN INDUSTRIES
Connect Every Enterprise Tool to AI. Securely. Seamlessly.
We engineer the neural pathways of your digital ecosystem. Like a Formula One pit crew, our integrations operate with precision, speed, and reliability to bridge your LLMs with your internal reality. We architect, build, and govern Model Context Protocol servers that give your AI agents safe, structured access to your enterprise data.
Universal AI Integration
AI Platforms
Claude
ChatGPT
Cursor
MCP Protocol
Design Industries MCP Server
Context • Security • Governance
Secure APIs
Your Enterprise Systems
Jira/Confluence
Salesforce
Databases
Legacy Systems
One integration layer. Unlimited AI platforms. Your entire enterprise stack.
The Integration Challenge
Why modern enterprises struggle to bridge the gap between static data and dynamic AI agents.
Disconnected AI
Your LLMs are brilliant but blind to your business context. Without live access to internal databases, tickets, and code repositories, they hallucinate or provide generic answers that lack enterprise relevance.
Integration Fatigue
Building custom point-to-point connectors for every AI tool (Claude, ChatGPT, internal agents) creates an unmaintainable spaghetti architecture that drains development resources.
Security Concerns
Giving AI access to data often means handing over the keys. Enterprises lack granular control over what the model can read, write, or execute, creating significant compliance risks.
No Internal Expertise
The Model Context Protocol is new. Internal teams are already stretched thin and lack the specialised knowledge to implement standard-compliant servers effectively.
What Is MCP?
The Model Context Protocol (MCP) is the open standard that enables AI models to interact with your data and tools safely. Instead of building separate integrations for every AI platform, you build one MCP server that any compliant AI client can talk to.
"Think of it as the USB-C port for AI applications—universal, standardised, and ready for plug-and-play capability."
By standardising how context is provided to Large Language Models (LLMs), MCP eliminates the need for fragmented, custom connectors. Every optimisation matters. Every day counts. Excellence is systematic, not accidental.
Industry Standard Support
Supported by major platforms:
Our MCP Capabilities
End-to-end services to operationalise your AI context layer.
Custom MCP Server Development
- Tailored connectors for proprietary APIs
- Legacy database exposure (SQL, Oracle)
- Atlassian Suite (Jira, Confluence)
- CRM & ERP Integration (Salesforce, SAP)
Secure MCP Hosting
- Enterprise-grade cloud deployment
- Authentication middleware integration
- High-availability architecture
- VPC Peering & Private Link support
Strategy & Governance
- Role-based access control (RBAC) design
- Audit logging and compliance mapping
- ITSM & HRMS Policy Enforcement
- Tool capability scoping
Why Design Industries?
Beyond Atlassian—Full Enterprise Scope
While we're Atlassian experts, our MCP integration services extend across your entire enterprise stack—CRM, ERP, databases, cloud services, and legacy systems.
DIAI Foundry Experience
Two years of hands-on R&D in AI implementation and MCP development. Our internal AI framework testing gives us battle-tested expertise you can access immediately.
Security-First Architecture
ISO 27001 compliant practices embedded in every line of code. RBAC design, audit logging, and compliance mapping built into every server configuration.
Australian-Based Delivery
Melbourne headquarters with nationwide delivery. Local experts who understand Australian enterprise requirements and sovereign capability needs.
MCP ARCHITECTURE
Built on Industry Standards
No black boxes. Our MCP architecture ensures your data stays yours, security is embedded at every level, and AI capabilities scale as the protocol evolves.
1. AI Client Layer
Your teams use any AI platform they choose. Claude, ChatGPT, custom agents, or coding assistants—all connect through the same standardised MCP protocol with zero context switching.
AI Client Layer
2. MCP Protocol Layer
The standardised JSON-RPC 2.0 protocol that enables universal AI integration. One protocol, any AI platform, zero vendor lock-in. Like Formula One pit stops—precision-engineered for speed.
MCP Protocol
3. Design Industries MCP Servers
Custom-built MCP servers engineered by Design Industries. We architect, build, and maintain the context layer that bridges AI to your enterprise systems with championship-level execution.
DI MCP Servers
4. Security & Governance
Role-based access controls, authentication middleware, and audit logging embedded from day one—not bolted on after deployment. ISO 27001 compliant architecture with granular permission scoping.
Security & Governance
5. Your Enterprise Data
Jira, Confluence, Salesforce, SAP, SQL databases, legacy systems, cloud services—MCP connects AI to your entire enterprise stack through secure, structured APIs. Your data stays yours.
One protocol. Any AI platform. Your entire enterprise ecosystem.
Your Enterprise Data
Common Enterprise Use Cases
| Scenario | AI Capability Enabled | Tools Connected |
|---|---|---|
| Project Management | Query ticket status, blockers, and sprint velocity. | Jira, Linear, Asana |
| Knowledge Search | Find and summarise documentation across silos. | Confluence, Notion, SharePoint |
| Service Desk | Automate incident response and ticket triage. | ServiceNow, Zendesk, PagerDuty |
| Workforce Management | Retrieve employee details and policy info. | Workday, BambooHR, ADP |
| Sales Enablement | Update deals and fetch client history instantly. | Salesforce, HubSpot, Gong |
| Compliance & Legal | Audit logs and verify contract clauses. | Ironclad, DocuSign, Splunk |
The Integration Process
Discover
We analyse your tool stack, identify high-value AI connection points, and map your data landscape to understand integration requirements.
Design
Design the secure MCP schema, define resource permissions, API boundaries, and governance protocols for compliant AI access.
Deploy
Build custom servers, conduct rigorous sandbox testing, and deploy to your secure cloud infrastructure with full documentation.
Enable
Connect AI clients, train your team on best practices, and establish ongoing monitoring and support for continuous optimisation.
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MCP in Action: Industry Outcomes
Every industry has fragmented data and disconnected AI tools. Here's what MCP integration delivers across the sectors we serve.
| Industry | Challenge | MCP Solution | Business Impact |
|---|---|---|---|
| Financial Services | Compliance teams manually cross-referencing regulations across siloed databases, audit trails, and document management systems. | MCP server connecting AI agents to regulatory databases, audit logs, and document repositories with role-based access controls. | Reduced audit time by 70%; 100% regulatory coverage with automated compliance checks. |
| Government | Citizen service enquiries requiring access to multiple government systems with strict data sovereignty requirements. | On-premise MCP deployment connecting AI assistants to citizen databases, case management systems, and policy documents without data leaving Australia. | Improved response accuracy with sovereign data handling; faster query resolution across departments. |
| Healthcare | Clinicians spending hours gathering patient history from fragmented EHR systems, lab databases, and imaging repositories. | HIPAA-compliant MCP server providing AI clinical assistants with structured access to patient records, lab results, and medical imaging with audit trails. | Faster diagnosis support with comprehensive patient context; secure PHI interaction with full compliance. |
| Enterprise IT | IT operations teams manually correlating incidents across monitoring tools, ticketing systems, and runbook documentation. | MCP integration connecting AI incident response agents to ITSM platforms, monitoring systems, configuration databases, and runbook repositories. | MTTR reduced by 45%; L1 support tickets automated with autonomous incident remediation. |
Outcomes are illustrative of the types of improvements MCP integration can deliver within enterprise ecosystems. Actual results depend on integration complexity, data quality, security requirements, and scope of engagement.
Engagement Options
MCP Proof of Concept
Build a single functional MCP server to validate value with one key tool.
Investment: Fixed Price
Scope: 1 custom MCP server with secure sandbox hosting
Timeline: 2 weeks
MCP Proof of Concept investment is scoped per engagement based on your integration complexity, security requirements, and data sources. Contact us for a tailored quote.
Includes: Requirements workshop, server development, sandbox deployment, stakeholder demo, documentation, and handover session.
Enterprise Deployment
Full-scale production rollout with governance, SLA, and ongoing support.
Investment: Via Digital Factory
Scope: Multi-server architecture with advanced auth & RBAC
Timeline: 6-8 weeks
Investment: Available via Digital Factory Pillar 3 or standalone
Includes: Complete production deployment, security hardening, SLA support, monitoring dashboards, team training, and continuous optimisation.
MCP Integration Services are available as a standalone offering or can be integrated within Digital Factory Pillar 3 for existing managed service clients.
Frequently Asked Questions
Can’t find what you need? Check out our FAQ or go to our Support Center or Contact us.
Is MCP secure for sensitive data? ❯
Absolutely. MCP runs locally or on your private infrastructure. The protocol is transport-agnostic, meaning we can wrap it in standard HTTPS/WSS with Mutual TLS, ensuring your data never leaves your controlled environment without explicit permission.
Which AI models support MCP? ❯
Currently, Anthropic's Claude Desktop is the primary consumer, but the standard is open-source. We are seeing rapid adoption across other agentic frameworks and IDEs like Cursor and Windsurf.
Do I need to replace my current API gateways? ❯
No. MCP servers often sit alongside or "behind" your existing gateways. They act as a translation layer specifically for LLMs to understand how to query your existing APIs effectively.
How long does it take to implement an MCP server? ❯
A simple Proof of Concept connecting one data source typically takes 2 weeks. Full enterprise deployment with complex governance can take 4-8 weeks depending on the number of integrations.
Can MCP connect to on-premise databases? ❯
Yes. Because MCP servers can be hosted anywhere, we can deploy them within your firewall to access on-prem SQL servers, Oracle DBs, or legacy mainframes securely.
What is the difference between MCP and a RAG pipeline? ❯
RAG is primarily about retrieval of static documents. MCP is about agency—giving the AI the ability to perform actions (query live data, update records, restart services) via tools, not just read text.
Do you offer ongoing support? ❯
Yes, our Digital Factory engagement model includes ongoing maintenance, updates to the MCP protocol as it evolves, and 24/7 monitoring of your integration servers.
What our Customers say about us
“Design Industries are dynamic and great at tailoring Atlassian. We've worked with them for years; I'm always confident they can support our development with enthusiasm, professionalism and benchmark support."
Matt Lecchi
Global IT Operations Manager,
Swisse Wellness
“Michael and the Design Industries team have done an incredible job managing the scope and stand-up of our Atlassian instance.
The rigour and detail in their process and documentation is incredible.”
Dave Keating
Chief Operating Officer,
Clemenger BBDO
“We reduced a number of tools across regions that caused miscommunication and inefficiency, bringing everyone into a single platform. By using the DI Configuration Patterns, we rapidly scaled Atlassian from 500 to 7,000 users, at the bare minimum doubling the efficiency of our teams, who are working on corer bank payment systems such as our .com."
Paul Anastasopoulos
Platform Manager, ANZ
Join the many companies and government businesses of the we’ve helped become more efficient
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Other Services
Not the right service for you? How about these other ones. As certified experts and a Solution Partner, we streamline workflows, unite teams, and drive agility across organizations.
Digital Factory
Comprehensive managed service for your Atlassian platform. Three-pillar approach: licensing optimisation, platform support, and strategic improvements.
Partner with Digital Factory >
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AI Fast Start
Rapid AI implementation for Atlassian ecosystems. Systematic 10-step deployment of Rovo, Atlassian Intelligence, and AI agents - from discovery to production in weeks for SMB and Enterprise.
Explore AI Fast Start >
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Rovo Agent Development
MCP integration is one part of your enterprise AI journey. Discover how Design Industries can support your entire Atlassian and AI transformation.
Learn About Rovo Agents >
NO STRINGS ATTACHED
Ready to Connect Your Enterprise AI?
Stop building fragmented AI integrations. Let Design Industries architect your universal MCP layer with Formula
One precision—systematic, secure, and built for scale.