Production MCP development for agentic AI
Deep skills without product context tend to produce fragile integrations. The specialist work has to connect to real user flows.
We document the prompts, tools, schemas, and day-to-day runbooks so your team can run the system after we hand it over.
If that sounds like your situation, Arcode is set up for teams searching for MCP development. MCP development services for custom servers, secure tool access, and Cursor/Claude-ready integrations.
What you get
- Custom MCP servers
- Tool and API connectors
- Secure auth patterns
- Agent-ready documentation
- One studio accountable for the result
- Design and engineering on the same schedule
- Support available after launch
How engagement works
As your MCP development, we run a shared backlog, design reviews, and engineering sprints, and you keep one point of contact throughout.
- 01
Discover
Goals, constraints, data sources, and success metrics, all settled before we touch architecture or prompts. You see progress on the critical path every week.
- 02
Design
System design, AI/tool boundaries, interface direction, and interaction prototypes. Nothing here waits on a handover between separate teams.
- 03
Build
Modern stack, clean architecture, evaluated AI behavior, and iterative demos you can react to. On MCP development projects we favour practical architecture over trendy defaults.
- 04
Launch
Ship, monitor, harden, and keep improving models, tools, and product after go-live. The work for teams in Australia stays tied to the outcome you asked for.
How we build it, and why
The stack is chosen per project, not applied from a template. For MCP development work these are the defaults, and the reason each one is on the list.
- MCP
- the Model Context Protocol, so your tools plug into Claude, Cursor, and other agent clients without a custom adapter for each
- TypeScript
- types across the whole stack, which catches the class of bug that only shows up in production
- Node.js
- one language across the stack, so context does not get lost at the boundary
- Claude
- long-context reasoning and reliable tool calling for agent work
- OpenAI
- a second model provider, so a single vendor's outage or price change is not your problem
What the first weeks look like
- Week 1
Spike the risky part
We build the thinnest possible version of custom mcp servers against your real data. If it is going to be a problem, it is better to know in week one than week six.
- Weeks 2-3
Harden the integration
Auth, rate limits, error paths, and the data contract. This is the work that separates a demo from something you can leave running.
- Weeks 4-6
Wire it into the product
The MCP development stops being a standalone service and becomes a feature people use, with the interface and permissions that implies.
- Ongoing
Evaluate and tune
Behaviour gets measured against cases you care about, and we tune from that rather than from impressions.
Weighing up your options
There are three realistic ways to get this built. Each is the right answer for someone.
A solo freelancer
Cheapest per hour and fine for a contained task. The risk on MCP development is breadth — one person covering design, backend, infrastructure, and launch usually means one of them is weak, and there is no cover when they are unavailable.
A local agency in Australia
Same timezone and a face to meet, which genuinely matters for some teams. You are also paying Australian companies valuing clear remote delivery. rates for the whole team including the layers that never touch your MCP development, and a local shortlist is a small shortlist.
Arcode
A small senior team. The people who scope the MCP development write the code, you get weekly demos instead of status decks, and the engagement ends when the thing is live and handed over.
Work we have shipped
Note Assist
AI product · Next.js · Speech
AI meeting assistant with live speech-to-text, ChatGPT chat, and Firebase auth for transcription workflows.
Freelance AI product built with Next.js, Firebase, AssemblyAI, and ChatGPT for live meeting transcription and realtime chat around the transcript.
- · Live speech-to-text transcription
- · Realtime chat over meeting notes
- · Firebase authentication
- · AI-assisted follow-up on transcripts
Next.js · Firebase · AssemblyAI · ChatGPT · TypeScript
Circlin Waitlist
Lead frontend · Next.js 15
Multilingual waitlist and referral product for a secondhand fashion brand, covering localization, analytics, and growth loops.
Waitlist experience with EN/DE localization, referral tiers, MDX blog, and analytics for Circlin.
- · EN/DE internationalization
- · Referral reward tiers
- · MDX blog and SEO content
- · Analytics and cookie consent
Next.js 15 · TypeScript · Tailwind · MDX · React 19
VIP Hires
Full-stack · Payments · UX
Recruitment platform with Stripe payments, workflow management, and polished motion-driven UI.
Hiring product covering job posting payments, candidate workflows, forms, and analytics.
- · Stripe payment flows
- · Recruitment workflow stages
- · Validated multi-step forms
- · Analytics charts and notifications
Next.js · Redux Toolkit · Stripe · Framer Motion · Zod
Working with teams in Australia
Australian companies valuing clear remote delivery. Work is remote-first (AEST/AEDT), with written updates you can read in your own time. We usually collaborate in English.
How we work with Australia teams
Australia runs five to six hours ahead of us, so your afternoon is our morning. That is a genuine daily overlap rather than a token one: work handed over at the end of your day is usually waiting for you the next morning.
What Australia clients usually need
Australian briefs lean towards customer-facing web platforms, mobile apps with a booking or marketplace core, and replacing ageing systems built by an agency that has since moved on.
Contracts, data, and compliance
We invoice in AUD or USD. The Privacy Act and Australian Consumer Law shape what you can collect and how terms and refunds are worded, so those get scoped into the build rather than patched in before launch.
