Remote MCP servers
Servers your customers and staff reach from the AI clients they already use, with OAuth-based authorisation scoped to each user.
MCP server development, Australia
Give AI a governed way into your systems.
Digitalis designs and builds Model Context Protocol servers that let AI clients act on your data and workflows through a small set of well-described, permissioned and logged tools.
What we build
Tool design
A small set of tools shaped around the tasks people actually perform, each with a clear description, typed inputs and useful errors.
Permissions and confirmation
Least-privilege scopes, read and write separation, and human confirmation before any consequential action.
Audit trails
A durable record of every call: who asked, which tool ran, with what inputs, and what came back.
Evaluation
Task-level tests that check the model chooses the right tool, passes the right arguments and recovers from failure.
Built for high-consequence systems
Digitalis builds MCP-native software for clinical settings, where an AI action can affect a patient record or a prescription. That work shapes every server we build: the model proposes, deterministic code checks, a person confirms, and the log keeps the evidence. The same design suits finance, government, operations and any system where an AI action needs an owner.
New to the protocol? Start with What is the Model Context Protocol?
MCP server development with Digitalis
Does Digitalis build MCP servers?
Yes. Digitalis designs and builds Model Context Protocol (MCP) servers and MCP-native products in Australia. Each server exposes an organisation's systems to AI clients through narrowly scoped tools, explicit permissions, confirmation for consequential actions and an audit trail of every call.
What is an MCP server?
An MCP server exposes tools, resources and prompts from one system through the open Model Context Protocol, so any compatible AI client can use them through one consistent interface.
Which AI clients can use an MCP server?
Any client that implements the Model Context Protocol, including Claude, ChatGPT, Microsoft Copilot Studio, Cursor and VS Code. One server serves all of them.
Can an MCP server connect to systems that hold sensitive data?
Yes, with the controls designed in from the start: OAuth-based authorisation scoped to the user, least-privilege tools, human confirmation for writes and consequential actions, and a durable log of every call. Digitalis developed this practice building MCP-native software for clinical settings.
How long does an MCP server take to build?
A focused server covering a handful of well-defined tasks usually reaches a working pilot within weeks. Most of the effort goes into choosing the tools, scoping permissions and testing behaviour against real tasks.
Build what matters.
Tell us what you are trying to build, change or understand. A first conversation starts with the problem.