Context-aware AI
Give your LLMs live access to internal databases, tickets, and code repositories, so answers are grounded in your business reality rather than generic knowledge.
Connect every enterprise tool to AI. Securely.
We architect, build, and govern Model Context Protocol servers that give your AI agents safe, structured access to your enterprise data.
ANZ
Australia Post
Afterpay
10k+ Active MCP servers worldwide
The integration opportunity
Why enterprises are standardising on MCP to bridge their data and their AI agents.
One layer, every platform
Build a single MCP integration layer instead of point-to-point connectors, and every AI tool you adopt (Claude, ChatGPT, internal agents) plugs straight in.
Governed access by design
Granular control over what AI can read, write, and execute, with permissions, audit trails, and compliance mapping built in from day one.
Expertise on tap
MCP is a fast-moving standard; partner with a team that has been building on it since the early days, so your people stay focused on their day jobs.
What is MCP?
The Model Context Protocol (MCP) is the open standard that lets AI models 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, MCP eliminates the need for fragmented, custom connectors.
10,000+
Active public MCP servers
Source: Anthropic MCP ecosystem update, December 2025; consistent with official MCP Registry counts, May 2026
97M+
Monthly SDK downloads
Source: Anthropic, December 2025 (Python and TypeScript SDKs combined); corroborated by independent 2026 reporting
Our MCP capabilities
End-to-end services to operationalise your AI context layer.
Custom MCP Server Development
Purpose-built servers that expose your systems to AI safely, from modern APIs to legacy platforms.
Tailored connectors for proprietary APIs
Legacy database exposure (SQL, Oracle)
Atlassian suite (Jira, Confluence)
CRM & ERP integration (Salesforce, SAP)
Secure MCP Hosting
Enterprise-grade infrastructure for the context layer, run inside your security perimeter.
Enterprise-grade cloud deployment
Authentication middleware integration
High-availability architecture
VPC peering & Private Link support
Strategy & Governance
The policy and control frame that keeps AI access compliant as adoption scales.
Role-based access control (RBAC) design
Audit logging and compliance mapping
ITSM & HRMS policy enforcement
Tool capability scoping
Why Design Industries
Enterprise integration is our home ground. Here is what we bring to your MCP build.
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.
DI AI Foundry experience
Two years of hands-on R&D in AI implementation and MCP development through the DI AI Foundry. Battle-tested expertise you can access immediately.
Security-first architecture
We design RBAC and audit logging into every MCP server, and align each deployment with the security controls (including SOC 2 and ISO 27001) that already sit at your Atlassian platform layer.
Australian-based delivery
Melbourne headquarters with nationwide delivery. Local experts who understand Australian enterprise requirements and sovereign capability needs.
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.
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01
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.
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02
MCP protocol layer
The standardised JSON-RPC 2.0 protocol that enables universal AI integration. One protocol, any AI platform, zero vendor lock-in.
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03
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.
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04
Security & governance
Role-based access controls, authentication middleware, and audit logging embedded from day one, not bolted on after deployment, with platform security alignment (ISO 27001) and granular permission scoping.
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05
Your enterprise data
Jira, Confluence, Salesforce, SAP, SQL databases, legacy systems, and cloud services: MCP connects AI to your entire enterprise stack through secure, structured APIs. Your data stays yours.
Common enterprise use cases
Where a governed context layer starts paying for itself.
| 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
Four steps from first conversation to a live, governed context layer.
01
Discover
We analyse your tool stack, identify high-value AI connection points, and map your data landscape to understand integration requirements.
02
Design
We design the secure MCP schema and define resource permissions, API boundaries, and governance protocols for compliant AI access.
03
Deploy
We build custom servers, conduct rigorous sandbox testing, and deploy to your secure cloud infrastructure with full documentation.
04
Enable
We connect AI clients, train your team on best practices, and establish ongoing monitoring and support for continuous optimisation.
MCP in action: industry outcomes
Every sector has high-volume knowledge work that connected AI can transform. Here's what MCP integration delivers across the sectors we serve.
| Industry | Challenge | MCP solution | 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. | Faster audit cycles, with automated compliance checks across the full regulatory footprint |
| 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, and faster query resolution across departments |
| Healthcare | Clinicians spending hours gathering patient history from fragmented EHR systems, lab databases, and imaging repositories. | MCP server giving AI clinical assistants structured access to patient records with full audit trails, with Australian privacy compliance handled at the platform layer. | Faster diagnosis support with comprehensive patient context, and every AI interaction fully audited |
| 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. | Faster incident resolution, with routine tickets handled automatically and intelligent escalation for the rest |
*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
Structured engagements designed to move you from concept to production, at the right pace for your organisation.
Start here
MCP Discovery
Freeno obligation
Ideal for understanding how MCP can fit into your current architecture. Includes use case identification, a high-level integration roadmap, architecture recommendations, and an initial feasibility assessment.
RECOMMENDED
Scoped
MCP Proof of Concept
Scopedto your engagement
Build a single functional MCP server to validate value with one key tool, hosted in a secure sandbox. Includes a requirements workshop, server development, stakeholder demo, documentation, and a handover session. Investment is scoped per engagement based on your integration complexity, security requirements, and data sources.
Partnership
Enterprise Deployment
Tailoredvia Digital Factory Pillar 3 or standalone
Full-scale production rollout with governance, SLA support, and advanced authentication and RBAC. Includes complete production deployment, security hardening, 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
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?
MCP is now an open industry standard governed by the Agentic AI Foundation under the Linux Foundation (since December 2025). It is supported across Claude, ChatGPT, Google Gemini, Microsoft Copilot, Cursor, Visual Studio Code and a growing range of enterprise AI platforms, so an MCP server you build once works with every compliant client.
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?
Ongoing support is delivered through the Digital Factory managed service. Platform support requests are handled as complimentary support tickets with prompt initial response during business hours, and strategic improvement work is drawn from your Pillar 3 allocation. We agree the specific support scope and response targets with you as part of the engagement.
Can't find what you need? Go to our Support Centre or contact us.
What our customers say
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.
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.
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 core banking payment systems such as our .com.
Our clients
Other services
MCP integration is one part of your enterprise AI journey. Here's how Design Industries can support your wider Atlassian and AI transformation.
Ready to connect your enterprise AI?
Let Design Industries architect your universal MCP layer with Formula One precision: systematic, secure, and built for scale.
No obligation. No sales pressure. Just a straightforward conversation about your integration landscape.
Book your free Platform Discovery
30 minutes. No obligation. Same-day scheduling available.
A straightforward conversation about your systems and your AI plans
Clarity on where MCP fits before committing any investment
No strings attached