Production MCP development for agentic AI
Specialist work falls apart when it never leaves the demo stage. Anything in production still needs auth, data handling, monitoring, and an interface people can use.
We prototype the risky integration first, then sort out auth, data contracts, evaluation, and monitoring before spending time on polish.
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. On MCP development projects we favour practical architecture over trendy defaults.
- 02
Design
System design, AI/tool boundaries, interface direction, and interaction prototypes. The work for teams in Dublin stays tied to the outcome you asked for.
- 03
Build
Modern stack, clean architecture, evaluated AI behavior, and iterative demos you can react to. You see progress on the critical path every week.
- 04
Launch
Ship, monitor, harden, and keep improving models, tools, and product after go-live. Nothing here waits on a handover between separate teams.
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 Dublin
Same timezone and a face to meet, which genuinely matters for some teams. You are also paying Dublin tech hub needing SaaS, AI, and full-stack engineers. 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
Medusa Ecommerce Store
Frontend · Medusa.js
Grocery ecommerce storefront on Medusa.js with Next.js, TypeScript, and API-driven catalog flows.
Stellar Stack ecommerce build focused on shopping UX and integrations across Medusa services and a Next.js storefront.
- · Medusa-powered catalog and checkout
- · TypeScript Next.js storefront
- · API and service integrations
- · Performance-minded product UX
Medusa.js · Next.js · TypeScript · React · Tailwind
Better Health Solutions
Frontend · CMS
Clinic website for Dr. Khayami with patient resources, scheduling UX, and educational video.
Responsive chiropractic practice site built at Code Band with Next.js, Redux Toolkit, Video.js, and Strapi content management.
- · Responsive clinic experience
- · Appointment-oriented UX
- · Patient education video
- · CMS-managed content
Next.js · Tailwind · Redux Toolkit · Strapi · Video.js
Working with teams in Dublin
Dublin tech hub needing SaaS, AI, and full-stack engineers. We work with clients in Dublin remotely and keep overlapping hours in GMT/IST. We usually collaborate in English.
How we work with Dublin teams
Dublin is on GMT/IST, four to five hours behind us, so we share most of a working day. Standups and demos fit comfortably inside your normal hours.
What Dublin clients usually need
Dublin work splits between homegrown SaaS companies and the local arms of larger tech firms needing something built outside their internal roadmap. AI feature work has become a large share of it.
Contracts, data, and compliance
The Irish DPC is lead supervisory authority for a lot of EU data work, so privacy questions get asked seriously and early. We keep data in EU regions and invoice in EUR.
