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MCP servers that connect your product to Claude, ChatGPT, Cursor, and your own agents - built by a remote dedicated developer.
Remote MCP Server Development for Australia A Dedicated Developer, Hourly or Monthly
One production MCP server connecting your product to Claude, ChatGPT, Cursor, and your own agents - built by a remote dedicated developer for AUD $40/hr or AUD $3,000/mo on Australian-afternoon overlap, Privacy Act aware.
MCP Server Development From Empiric Infotech LLP
Empiric Infotech LLP builds and runs MCP servers for Australian startups and product teams as a dedicated-developer engagement: one remote developer (or a small dedicated team) full-time and exclusively on your Model Context Protocol server, in your GitHub or GitLab org and your cloud account, month after month, with a daily Australian-afternoon overlap window for standups and pairing. We design the resource and tool surface, implement against the official Anthropic MCP SDK (Python or TypeScript), wire up OAuth 2.1 and SSO, pick the transport, add logging, rate limits, and evals, deploy to AWS (ap-southeast-2 Sydney), Azure Australia, GCP, or on-prem, and test against the clients you use: Claude Desktop, Claude in the API, Claude Code, Cursor, Windsurf, VS Code, ChatGPT custom connectors. A senior team lead reviews and tests every change. The engagement is billed two ways - AUD $40 an hour or the standard AUD $3,000 a month per developer - Australian Privacy Act aware, with no Fair Work obligations or payroll tax because the developer is not your employee, a 7-day risk-free trial on the monthly plan, and you scale to a team a developer at a time.
What an MCP server engagement delivers for an Australian team
Not a laptop demo. A Model Context Protocol server in your AWS Sydney or Azure Australia account - spec-compliant, OAuth-authenticated, logged, Privacy Act aware - tested against the AI clients your team uses, plus the developer who keeps extending it on your afternoon overlap.
A spec-compliant MCP server, in your repo and your Australian cloud
Built against the official Anthropic MCP SDK (Python or TypeScript), resources and tools and prompts modelled to your domain, deployed to your AWS (ap-southeast-2 Sydney), Azure Australia, GCP, or on-prem account. Code, infra, and data stay yours from day one. Published spec, not an MCP-flavoured bespoke protocol.
Your tools and data, exposed safely
Adapters over your REST and GraphQL APIs, your Postgres or MongoDB, your document store, your search index, your CRM, your internal services - exposed as MCP tools and resources with per-tool permission scopes, input validation, and one security boundary, so an assistant can read and act on your systems without a new integration per client.
OAuth 2.1, SSO, and Privacy Act-aware data handling
OAuth 2.1 authorization for remote (Streamable HTTP) servers, SSO or API keys where that fits, stdio for a local server, per-user and per-tenant isolation, consent handling for sensitive actions, and data handling aware of the Australian Privacy Principles - the parts that decide whether your security review passes.
Logging, rate limits, and evals so it survives production
Structured logs and OpenTelemetry traces on every tool call, rate limiting and timeouts, alertable error surfaces, and eval-driven tests of the server-and-assistant pair so a model change does not silently break a workflow.
Tested against the clients your team uses
Reference integration and a smoke-test pass against Claude Desktop, Claude in the API, Claude Code, Cursor, Windsurf, VS Code, and ChatGPT custom connectors - whichever your team is on - plus a runbook for adding a new client and wiring it into your own agent if you host an MCP client.
The agent side too, when you need it
Both halves - the MCP server (tool layer) and the agent or feature that consumes it (application layer) - by the same developer, or a second dedicated developer at the same flat rate. See /hire/hire-claude-developers and /services/ai-agent-development.
A developer who is still there when the spec moves
MCP is young and the spec keeps moving - transports, auth, registry, UI extensions. A dedicated engagement means the same developer tracks those changes and keeps your server current, month after month, instead of handing you a v1 and a stale README.
How we scope an MCP server engagement
No multi-week sales cycle and no twenty-page SOW. A call, a written scope, a trial, then a monthly engagement you can end any time.
A scoping call (AEST slot)
Thirty to forty-five minutes on an Australian-afternoon slot. You tell us which tools and data you want an assistant to reach, which clients you target, your Privacy Act and security posture. No charge, no obligation.
A written scope and team proposal
We send back the resource and tool surface for month one, the transport and OAuth design, who we would put on it, and the flat monthly price in AUD. We will tell you honestly if direct function calling beats an MCP server for your case.
A 7-day risk-free trial
The developer gets into your repo and Australian cloud account and ships the first slice - a working, authenticated server with two or three tools running against the client you named - inside the first week, reviewed and tested by the senior lead. Not a fit by day 7, full refund, no debate.
Hourly or monthly, your choice
Hourly: billed by the hour at AUD $40, time tracked to the minute, a weekly time report and a demo, stop any time - best for a defined scope or burst work. Monthly: 160-172 hours at the standard AUD $3,000, monthly billing in AUD, cancel with 7 days notice - the better value when the server is a rolling thing. No Fair Work process either way. Switch between them month to month as the surface grows or settles; add a developer (or build the agent side) at the same rate.
Two ways to engage an MCP server developer
Two ways to engage a remote MCP server developer, billed in AUD. By the hour at AUD $40 - pay as you go, time tracked to the minute, a weekly report and demo, no monthly commitment - best for a defined scope (a v1 server, an Australian Privacy Act security review, a spec migration) or burst work. Or monthly at the standard AUD $3,000 for 160-172 hours of full-time, exclusive work on Australian afternoon overlap - the better value when the server is a rolling thing with new tools, new clients, and spec revisions, with a 7-day risk-free trial. Either way: your repo, your Australian cloud, the official Anthropic MCP SDK, Privacy Act aware, data in AWS Sydney if you want it there, and a senior lead reviews and tests every release. Why the hourly premium? MCP is a young spec and the auth, transport, and tenant-isolation work is expert-level; the monthly rate is the same flat rate as any Empiric engagement once you commit. No Fair Work, superannuation, or payroll tax either way.
Hourly plan
- A dedicated MCP server developer, exclusive to you while you have hours booked
- Pay as you go - billed by the hour in AUD, time tracked to the minute, a weekly report and demo
- Best for a defined scope (v1 server, Privacy Act security review, spec migration); no monthly commitment, stop any time
- Your repo, Australian cloud, and client integrations (Claude Desktop, Cursor, ChatGPT) from day one; Privacy Act aware
- Every release reviewed and tested by a senior lead; no Fair Work, super, or payroll tax
Monthly plan
- A dedicated MCP server developer, full-time and exclusive - 160-172 hours on Australian afternoon overlap
- The best value when the server is a rolling thing - new tools, new clients, spec revisions
- Your repo and Australian cloud from day one; the same flat rate as any Empiric engagement
- 7-day risk-free trial, monthly billing in AUD, cancel with 7 days notice; no Fair Work, super, or payroll tax
- A senior lead reviews and tests every release; data in AWS Sydney if you want it there
Dedicated team
- A small dedicated team - developers plus a senior team lead who reviews and tests every release
- Add a developer (or a designer for an admin UI) at the same rate, in 48 hours
- Pair an MCP server developer with an agent developer to ship both halves at once
- Best for a large tool surface, multi-client roll-out, or running both the server and the agent
What the first 90 days look like for an Australian team
A dedicated engagement is a rolling thing, not a Gantt chart - but here is the shape of the first three months, all on an Australian-afternoon overlap.
- Week 1
Onboarding and the trial server
Repo and AWS Sydney access, a working local environment, the transport and OAuth choice made, and a first server with two or three tools - authenticated, logged, running against the client you named - shipped and reviewed. Day 7 is the decision point.
- Month 1
A useful server, in production
The core tool and resource surface live - your priority APIs and data, with permission scopes, input validation, rate limits, structured logging - deployed to staging and production in AWS Sydney, OAuth 2.1 wired, and a reference integration with Claude Desktop or the client your team uses.
- Month 2
Breadth, evals, and the second client
More tools and resources, prompt templates where they help, eval-driven tests of the server-and-assistant pair, tighter observability, and integration with a second client surface (Cursor, ChatGPT connectors, your own agent), plus a runbook for adding a new one.
- Month 3
Hardening, the agent side, and ahead of the roadmap
A security and Privacy Act pass against the OWASP LLM risks and the MCP auth model, a performance pass on the hot tool paths, and - if you want it - the consuming agent or product feature built on top. From here the developer is ahead of your backlog.
A monthly dedicated developer vs a fixed-price AI agency, a freelance marketplace, or an Australian in-house hire
| Empiric Infotech (monthly dedicated developer) | Fixed-price AI agency | Freelance marketplace (Upwork, Toptal) | Hire an Australian engineer in-house | |
|---|---|---|---|---|
| Pricing model | AUD $40/hr for hourly work, or the standard AUD $3,000/mo for a full-time developer if you lock a month - your choice; scale a developer at a time | AUD $25K-$90K fixed bid for a v1 MCP server; change orders billed extra | AUD $70-$200/hr; scope creep comes out of your budget | AUD $130K-$180K salary + super + on-costs, per engineer |
| MCP experience | Developers who have shipped MCP servers and consuming agents in production | Varies - many agencies are learning MCP on your build | Hit or miss; verify it on the trial yourself | Whatever your team has - often a first MCP server, learning the spec as they go |
| Quality control | Senior-lead code review + pre-delivery testing on every release, built in | Per agency - often the same juniors who wrote it | On you to review and verify | Your own review process, if you have one |
| Privacy Act and data handling | Australian Privacy Principles-aware; data map of what the server can reach; data in AWS Sydney if you want | Per agency - confirm before you sign | On you - check the contractor | Yours to handle |
| Time to start | 48 hours | 2-6 weeks (proposal, SOW, kickoff) | Days to weeks (post a job, review, interview, trial) | 1-3 months (search, offer, notice, onboarding) in a thin AI-talent market |
| Time-zone overlap | 3.5 hr live afternoon overlap (AEST); PM into your evening | Per agency | Per freelancer | Same time zone (once you have hired) |
| After v1 | The same developer keeps shipping - new tools, new clients, spec revisions | A new maintenance retainer, or you are on your own | Re-hire the freelancer, or the server goes stale | The engineer stays - if they stay |
| Employment and tax | Service engagement - no Fair Work obligations, no superannuation, no payroll tax; monthly invoice in AUD | Per agency terms | Per contractor (ABN / per platform) | PAYG, superannuation, payroll tax, leave entitlements |
Figures are typical Australian market ranges, not quotes. A fixed-price agency build of a comparable v1 MCP server commonly lands in the AUD $25K-$90K range before change orders; a fully loaded in-house engineer runs roughly AUD $14.7K-$20.4K per month once you add superannuation and on-costs.
Working hours and Australian overlap
Our team works 09:30 AM - 07:30 PM IST and a project manager is on call 07:30 AM - 10:30 PM IST, Monday to Friday. Here is exactly when that lands for clients in the US, Europe and Australia, your region first.
Australia East (Sydney, Melbourne, Brisbane) - full team online 2:00 PM - 12:00 AM (next day), project manager 12:00 PM - 3:00 AM (next day).A solid block of live hours every business day, with async cover on either side.
US Eastern (New York, Boston, Atlanta) - full team online 12:00 AM - 10:00 AM, project manager 10:00 PM - 1:00 PM (next day).
US Pacific (Los Angeles, San Francisco, Seattle) - full team online 9:00 PM - 7:00 AM (next day), project manager 7:00 PM - 10:00 AM (next day).
UK & Ireland (London, Dublin) - full team online 5:00 AM - 3:00 PM, project manager 3:00 AM - 6:00 PM.
Central Europe (Berlin, Paris, Amsterdam, Madrid) - full team online 6:00 AM - 4:00 PM, project manager 4:00 AM - 7:00 PM.
Want it to the half-hour in your own time? Slide through your day and book a slot below.
Why Australian teams build their MCP server with a dedicated developer, not a fixed-price agency
Sydney and Melbourne backend hires with the MCP and agent depth to ship this in production run roughly AUD $14,700 to $20,400 a month all-in once you add superannuation, payroll tax, and on-costs, in a thin local AI-tooling market where the right person is slow to land. A fixed-price AI agency build of a v1 MCP server typically runs AUD $25,000 to $90,000 before the first change order, then a maintenance retainer. Empiric Infotech is billed two ways - AUD $40 an hour for a defined scope, or the standard AUD $3,000 a month per developer for 160-172 hours of full-time, exclusive work - in AUD, with the same person on your server the next month, and a senior lead reviewing and testing every release at no extra cost.
MCP is new enough that the fixed-price risk is real: an agency learning the spec on your dime, a server that does not survive your security review, an MCP-flavoured bespoke protocol that locks you in, a v1 delivered the day the SOW closes and frozen while the spec moves. A dedicated Empiric developer has shipped MCP servers and the agents that consume them in production, follows the official Anthropic SDK and the published spec, works on your afternoon overlap, and is still there when the next spec revision lands or you want the third client wired - with no Fair Work process, superannuation, or payroll tax because the developer is not your employee.
We have built AI and LLM features into products since the current wave began - retrieval, agents, structured extraction - and shipped web and mobile products since 2020. The depth shows up in the parts a quickstart skips: a tool surface modelled to your domain rather than dumped one-to-one from your API, OAuth and tenant isolation that passes review, evals that catch a regression before your users do, and the honesty to say when direct function calling beats an MCP server.
Recent AI and product engineering work
Acceleread - a cross-platform app built and maintained over time
A cross-platform speed-reading training app built for an Australian client by a two-person Empiric Infotech team - the app, the speed-reading engine, progress tracking, and in-app subscriptions across 24 languages. A dedicated, month-after-month engagement.
Read case studyYield Magnet - a product team's engineering partner
A SaaS product built for an Australian client by an Empiric Infotech team - the app, the backend, and the integrations - the kind of dedicated engagement an MCP server engagement runs as.
Read case studyDRT - a continuous build for a trans-Tasman client
A product built for a New Zealand client by an Empiric Infotech team - included here as the nearest neighbour to the Australian schedule - the app and the backend behind it, maintained over time.
Read case studyReady to build your MCP server?
Tell us which tools and data you want an assistant to reach (APIs, databases, document store, CRM, internal services) and which clients you target (Claude Desktop, the Claude API, Cursor, ChatGPT connectors, your own agent). Within 24 hours we will send back a resource and tool surface, an OAuth and transport design, a team proposal, and a flat monthly price in AUD. Your developer starts inside 48 hours on your afternoon overlap, and a senior lead reviews and tests everything before it reaches you.
Reviews
FAQs
Answers to Common Questions - From Founders, Ops Teams & Tech Leads
Frequently asked questions
MCP (Model Context Protocol) is the open standard Anthropic published for connecting AI assistants to your tools, data, and APIs. Instead of hard-coding a separate integration into Claude, Cursor, ChatGPT, and every internal agent, you build one MCP server that exposes your tools and data behind a single, OAuth-authenticated security boundary, and any compliant client can use it. You need one when multiple AI clients hit the same internal systems, when you want a single audited boundary for AI access, or when you want to ship internal agents that act on your real data without leaking permissions.
Two ways, billed in AUD. By the hour at AUD $40 - pay as you go, time tracked to the minute, a weekly report and demo, no monthly commitment - best for a defined scope like a v1 server, a Privacy Act security review, or a spec migration. Or monthly at the standard AUD $3,000 per dedicated developer for 160-172 hours of full-time, exclusive work in your repo and your Australian cloud, on Australian afternoon overlap, with a 7-day risk-free trial - the better value when the server is a rolling thing. Either way: the official Anthropic MCP SDK, Privacy Act aware, data in AWS Sydney if you want it there, and a senior lead reviews and tests every release. The monthly rate is the same flat rate as every other Empiric Infotech engagement; no premium for the MCP framing. No Fair Work, super, or payroll tax either way. Add a developer (or build the agent side too) at the same flat rate when the surface grows.
Direct function calling is the right fit when you have one agent surface and a handful of tools. An MCP server is the right fit when multiple AI clients - Claude Desktop, the Claude API, Cursor, ChatGPT connectors, your own agent - need the same tools, or when you need one audited security boundary for AI access. We will tell you which one your case needs on the scoping call and in the first week, and pivot to direct function calling if an MCP server is overkill.
Any MCP-compliant client: Claude Desktop, Claude in the API, Claude Code, Cursor, Windsurf, Zed, Continue, Cline, VS Code, ChatGPT custom connectors, and the growing list of others - plus your own agents built with the Anthropic, OpenAI, or Vercel AI SDK that host an MCP client. We deliver the server, a reference integration for the clients your team uses, and a runbook for adding a new one.
The official Anthropic MCP SDKs - Python or TypeScript, whichever matches your stack - and the published MCP spec, including its revisions. Transport is stdio for a local server and Streamable HTTP for a hosted one, with OAuth 2.1 authorization where the spec calls for it. No MCP-flavoured bespoke protocol; the server works with standard clients, not just ours.
Every MCP server we ship has per-tool permission scopes, input validation, per-user and per-tenant isolation, OAuth 2.1 or SSO or API-key auth, rate limits and timeouts, structured logs and traces on every tool call, consent handling for sensitive actions, a data map of what the server can reach, and data handling aware of the Australian Privacy Principles - with data kept in AWS Sydney if you want it there. We threat-model against the OWASP LLM risks and the MCP auth model. Billed in AUD with no GST complications because the service is supplied from outside Australia.
Yes. Our Claude and LLM developers build both the MCP server (tool layer) and the agent or product feature that consumes it (application layer). Most engagements pair one developer across both; if you want a separate developer on the agent side, add one at the same flat monthly rate - see /hire/hire-claude-developers and /services/ai-agent-development.
Yes - our Claude and LLM developers have shipped MCP servers exposing internal APIs, document retrieval (RAG as an MCP resource), CRM read and write, and CI workflows to Claude Desktop, Cursor, and custom agents for B2B SaaS teams, using the official Anthropic SDKs. MCP is recent, so the named portfolio entries on this site are products rather than public MCP servers; on the trial we will show you the closest production work.
You own it - your GitHub or GitLab org, your cloud account, your domain, from day one. It runs where you want it: AWS (ap-southeast-2 Sydney), Azure Australia, GCP, or on-prem. We work inside your accounts, not ours.
Within 48 hours of sign-off: a scoping call on an AEST slot, a written scope and team proposal, then onboarding - your repo, your AWS Sydney account, a working local environment - on day one. The first 7 days are a risk-free trial with a full refund if it is not a fit and a no-cost developer swap inside that window. After that, monthly billing in AUD with 7 days notice to stop - no auto-renewal, no minimum term, no Fair Work process.
GET A QUOTE NOW
Tell us your tools, data, and which AI clients you target (Claude Desktop, the Claude API, Cursor, ChatGPT connectors, your own agent), and we'll come up with a viable engagement plan!
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