Arcode · MCP Developer · Toronto

MCP Developer in Toronto

Arcode works as a focused MCP developer for teams in Toronto. If you are searching for an MCP developer in Toronto, you probably want a studio that designs, builds, and launches rather than one that only presents slides.

  • Custom MCP server development
  • Tool-calling integrations
  • Secure agent access patterns

Model Context Protocol specialists

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.

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.

  1. 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.

  2. 02

    Design

    System design, AI/tool boundaries, interface direction, and interaction prototypes. The work for teams in Toronto stays tied to the outcome you asked for.

  3. 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.

  4. 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 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

  1. 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.

  2. 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.

  3. 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.

  4. 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 Toronto

Same timezone and a face to meet, which genuinely matters for some teams. You are also paying Toronto startups seeking remote product delivery partners. 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

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

Case Management Hub

Full-stack engineer · NestJS · Next.js

HIPAA-compliant healthcare SaaS for 150+ US organizations, with dual databases, realtime collaboration, billing, and secure client portals.

Enterprise case management platform for healthcare and social-work organizations with encryption, realtime messaging, Stripe billing, Zoom, and calendar sync.

  • · HIPAA-ready architecture with encryption and audit logging
  • · Realtime collaboration via Socket.io + Redis
  • · Client portal and role-based access control
  • · Stripe billing and document workflows

Next.js · NestJS · TypeScript · MongoDB · Redis · Socket.io

Working with teams in Toronto

Toronto startups seeking remote product delivery partners. We work with clients in Toronto remotely and keep overlapping hours in EST/EDT. We usually collaborate in English.

How we work with Toronto teams

Toronto is on ET, giving us an afternoon-to-morning overlap. That supports a daily call window plus asynchronous updates for everything that does not need one.

What Toronto clients usually need

Toronto briefs are mostly B2B SaaS and internal platforms, often from teams with product sense but no in-house engineering capacity to build what they have specified.

Contracts, data, and compliance

We invoice in CAD or USD. PIPEDA obligations and Canadian data residency come up regularly, so we confirm hosting regions and data flows before writing code.

Related work

A few projects that line up with MCP development.

  • Note Assist

    AI

    Note Assist

    AI meeting assistant with live speech-to-text, ChatGPT chat, and Firebase auth for transcription workflows.

Next step

Ready to get moving? Arcode will outline a practical MCP development plan for teams in Toronto in a 30-minute call.