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.
We work best with teams searching for MCP development who want a partner that ships. 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 France 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 France
Same timezone and a face to meet, which genuinely matters for some teams. You are also paying French brands seeking polished product UX with strong engineering. 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
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
Prism Goals
Frontend · Strapi CMS
Accountability platform with dashboards, weekly check-ins, admin tooling, and progress analytics.
Goal tracking product with Typeform check-ins, admin panel, and Strapi-backed content.
- · Goals and values dashboard
- · Weekly check-in integrations
- · Admin user management
- · Progress analytics
Next.js · TypeScript · Material UI · Strapi · Axios
Working with teams in France
French brands seeking polished product UX with strong engineering. Work is remote-first (CET/CEST), with written updates you can read in your own time. We usually collaborate in French/English.
How we work with France teams
France is three to four hours behind us, so the afternoon is shared in full. Work is delivered in English; French-language briefs are fine to send, and documentation and updates come back in English unless you need otherwise.
What France clients usually need
French briefs often pair a strong brand with an ageing site — a marketing-led rebuild where the design matters as much as the stack underneath it. Marketplace and subscription products are the other recurring theme.
Contracts, data, and compliance
GDPR and CNIL guidance drive the data decisions, so consent handling and analytics get scoped properly instead of being dropped in as a cookie banner at the end. We invoice in EUR with reverse-charge VAT for registered businesses.
