Model Context Protocol specialists
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 adopting agentic AI tooling. Custom MCP servers that connect AI agents to your tools, data, and workflows.
What you get
- Custom MCP server development
- Tool-calling integrations
- Secure agent access patterns
- Cursor and Claude-ready tooling
- One studio accountable for the result
- Design and engineering on the same schedule
- Support available after launch
How engagement works
As your MCP developer, 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 Manchester 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 developer 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 server development 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 Manchester
Same timezone and a face to meet, which genuinely matters for some teams. You are also paying Manchester tech scene needing full-stack and product support. 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
Lengju Deildin
Realtime frontend · GraphQL
Live football league experience with sockets, GraphQL, and YouTube stream widgets.
Automated league app built at Stellar Stack with live scores, widgets, and stream integrations for higher fan engagement.
- · Realtime score updates
- · YouTube live widgets
- · GraphQL data layer
- · Automated league data views
React · GraphQL · Apollo · WebSockets · Firebase
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
Working with teams in Manchester
Manchester tech scene needing full-stack and product support. We work with clients in Manchester remotely and keep overlapping hours in GMT/BST. We usually collaborate in English.
How we work with Manchester teams
Manchester is on GMT/BST, so we share a full working day rather than a couple of hours. Most Manchester clients settle into a short weekly call with written updates in between, which keeps the meeting load low.
What Manchester clients usually need
Manchester briefs are mostly growing businesses rather than funded startups: ecommerce platforms, booking and membership systems, and internal tools that outgrew the spreadsheet they started as.
Contracts, data, and compliance
Budgets here tend to be tighter than London's for comparable scope, so we phase work into releases that each stand on their own instead of one large build. We invoice in GBP and work under UK GDPR.
