Production MCP development for agentic AI
Newer tools change quickly, so it helps to work with someone who has already shipped the pattern you are buying.
Specialist features sit behind clear interfaces, so your core product stays stable while new capability gets added.
Most people who reach this page are 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. Nothing here waits on a handover between separate teams.
- 02
Design
System design, AI/tool boundaries, interface direction, and interaction prototypes. On MCP development projects we favour practical architecture over trendy defaults.
- 03
Build
Modern stack, clean architecture, evaluated AI behavior, and iterative demos you can react to. The work for teams in the Middle East stays tied to the outcome you asked for.
- 04
Launch
Ship, monitor, harden, and keep improving models, tools, and product after go-live. You see progress on the critical path every week.
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 Middle East
Same timezone and a face to meet, which genuinely matters for some teams. You are also paying Regional demand for digital products and AI automation. 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
Conference App
Mobile · Flutter · Zoom
Cross-platform conference app with Firebase auth, realtime data, and Zoom video sessions.
Freelance Flutter product covering authentication, realtime storage, and Zoom API video conferencing for event attendees.
- · Cross-platform Flutter client
- · Firebase authentication
- · Realtime event data
- · Zoom video conferencing
Flutter · Firebase · Zoom API
Horizan Labs
Frontend · Internship
Marketing website contribution during the Arsol internship, focused on responsive UI and frontend delivery.
Early-career site work at Arsol using React, Next.js, and Tailwind to help ship the Horizan Labs web presence with the team.
- · Responsive marketing pages
- · Team-based frontend delivery
- · Modern React/Next stack
- · UI performance and accessibility focus
React · Next.js · Tailwind · MySQL
Working with teams in Middle East
Regional demand for digital products and AI automation. Work is remote-first (GST/AST), with written updates you can read in your own time. We usually collaborate in English/Arabic.
How we work with Middle East teams
Most Gulf markets run GST or AST, one to two hours ahead of us, with a Sunday-to-Thursday week in several countries. We match whichever week a client works and keep responses same-day.
What Middle East clients usually need
Requests from the region split between UAE and Saudi brands wanting premium, fast digital products, and businesses across the wider Gulf automating operations with AI.
Contracts, data, and compliance
We invoice in AED, SAR, or USD depending on the client. Where a product serves Arabic-speaking users, right-to-left layout and Arabic content get planned into the design system from the start rather than translated on afterward.
