What MCP actually is, and why your business should care
A plain explanation of the Model Context Protocol, what it lets AI assistants do with your own systems, and when building an MCP server is worth it.
·4 min read
Every AI assistant has the same limitation: it only knows what it was trained
on and what you paste into it. It cannot see your inventory, your tickets, your
schedule or your database. So people copy and paste, which works until the data
is large, private, or changes hourly.
The Model Context Protocol solves that. It is an open standard for
connecting AI assistants to real systems, and it is worth understanding because
it changes what “using AI at work” can mean.
The plain version
MCP is a common language between an AI assistant and your systems. Instead of
every assistant needing custom integration code for every tool, you build one
MCP server that describes what your system can do, and any MCP-capable
client can use it.
The comparison people find useful is a USB port. Before a standard, every
device needed its own connector. After one, anything plugs into anything. MCP
is that, for AI and your software.
An MCP server exposes three kinds of thing:
Tools, which are actions the assistant can take. Look up an order, create
a ticket, run a query.
Resources, which are data it can read. A document, a record, a file.
Prompts, which are pre-built workflows for common requests.
What this looks like in practice
Concretely, for a business:
Someone asks the assistant “which jobs are behind schedule this week?” Without
MCP, the assistant guesses or asks them to paste a spreadsheet. With an MCP
server connected to your job tracker, it queries the actual data and answers
with real numbers, this morning’s numbers.
Or a support agent asks “what did we tell this customer last time?” The
assistant reads the ticket history through MCP and answers, with references,
rather than inventing something plausible.
That last distinction is the whole point. An assistant with MCP access is
answering from your data. An assistant without it is guessing. For anything
that matters, that difference is not subtle.
When it is worth building
An MCP server earns its cost when all of these are true:
Your team already uses an AI assistant daily. If nobody is using one,
solve that first, or you are building a bridge to an empty road.
The information lives in a system with an API or database. MCP is a
connector, not a data-entry project. If the answers live in someone’s head
or a filing cabinet, that is a different problem.
People ask the same questions repeatedly. Recurring questions are what
justify the build, the same way recurring manual work justifies automation.
Being wrong is survivable, or a human approves the risky steps. Read-only
access to reports is low risk. Anything that sends an invoice or emails a
customer should have a person in the loop.
When it is not
Skip it if your data fits in a document you could paste. Skip it if only one
person would use it. Skip it if the underlying system has no API and would need
building first, in which case build the system properly and add MCP later.
And be sceptical of anyone selling an MCP server as a product without asking
what questions your team actually asks. The protocol is the easy part. Knowing
which tools to expose, and which to deliberately withhold, is the work.
The part most people get wrong
The instinct is to expose everything. Full database access, every action, all
of it, and let the assistant work out what to use.
That is a bad idea for the same reason you do not give every employee
production database credentials. An MCP server should expose the narrowest set
of capabilities that answers the real questions, with:
Read and write clearly separated, and writes restricted to what genuinely
needs them.
Approval gates on anything destructive or outward-facing.
Logging of every call, so you can answer “what did it do and when.”
Its own credentials, scoped to exactly what it needs, never a shared
admin account.
Treat the assistant as a capable new employee on their first week: useful,
worth trusting with real work, and not yet given the keys to everything.
Cost and effort
A focused MCP server over an existing API is a small project, usually one to
three weeks. It can often run serverless for a few dollars a month, because it
only does work when someone asks a question.
The cost grows when the underlying system has no usable API, when data needs
cleaning first, or when write access means designing approval flows. Those are
real projects, and worth scoping honestly rather than discovering midway.
Where to start
Pick one question your team asks constantly and cannot answer quickly. Build a
read-only MCP server that answers exactly that. It will take days, it cannot
break anything, and it tells you whether the rest is worth doing.
We build MCP servers and agent workflows for Canadian businesses, including
public servers that run on a single serverless function for a few dollars a
month. If you want a straight read on whether MCP fits your situation,
tell us what your team keeps asking.
One email when something new goes up, roughly twice a month. Plain
writing on what software costs and what is worth building. No sequences,
no sales calls, and one click to leave.
Tell us what the problem is. You will get an honest read on whether it is worth building, what it would take, and roughly what it would cost. No pitch deck, no pressure.
Six things: marketing websites, web applications, internal tools, AI systems, AI agents and MCP servers, and database work. Most projects touch two or three of them rather than sitting neatly in one.
Yes. Marketing sites, landing pages and content platforms, built on modern static tooling rather than page builders. They load in under a second and have the technical SEO groundwork done properly.
Yes. Customer portals, dashboards, booking systems and SaaS products. The kind where users log in, data persists and money changes hands, so it has to be right.
Software your staff use rather than your customers. A dashboard pulling numbers from systems that do not talk to each other, a job tracker matching how you actually work, or a scheduled job replacing a report someone assembles by hand every Monday.
Yes, and we will tell you when it is the wrong tool. Retrieval over your own documents, support assistants, document extraction and classification, all built with evaluation and guardrails from the start.
MCP is the standard that lets AI assistants reach your real systems instead of guessing. We build MCP servers that expose your data and tools to Claude and other clients, and agents that carry out multi-step work with permissions and audit trails.
Yes. Schema design, query performance work, migrations between systems, ETL pipelines and reporting layers. Usually called in when the database has quietly become the bottleneck, or the risk.
Not native iOS or Android apps. We build web applications that work properly on phones, which covers most of what businesses actually need. If you need a true native app, we will say so rather than talk you into a compromise.
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We design and build the sites and applications we make. We do not do standalone brand identity, logo design or print work. If you already have brand guidelines we will follow them.
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Often, yes. The first step is a short paid audit of the existing code and infrastructure, so you get an honest assessment of what is salvageable and what it would cost either way before committing to anything.
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Yes, if you want it. You can also take the project and run it yourself using the documentation provided. Both are genuine options and there is no pressure toward a retainer you do not need.
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A marketing site typically lands between $3,000 and $12,000 depending on page count and complexity. You get a written fixed price before any work begins, so the number you approve is the number you pay.
Applications and internal tools are scoped individually and most start around $15,000. Once users log in and data persists, you are buying software rather than a website, and it is priced like software.
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A single automation or integration is usually $2,000 to $6,000. A proper internal application with its own database and user roles runs $6,000 to $20,000. Anything your operations depend on goes up from there.
Fixed price wherever the scope can be fixed. That means we absorb the overrun rather than you, and it is usually worth the small premium on a first project together. If something changes mid-build you hear about it before the work happens, not on the invoice.
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A static marketing site is commonly free to host and stays free at traffic levels most local businesses never reach. A well-built internal tool usually runs $10 to $50 a month. Budget 15 to 20 percent of the build cost annually for maintenance.
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Copywriting, photography, ongoing SEO work and third-party subscriptions are the four things most commonly assumed by the client and excluded by the quote. Ours states what is and is not covered explicitly.
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Yes, typically a portion up front with the remainder on delivery, or split across milestones for larger projects. The exact split is agreed in the written proposal before work starts.
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Rarely page count. Integration complexity, how much the process changes mid-build, and how clean your starting data is. Messy historical data is the single most common reason projects overrun.
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Usually. Tell us the number and we will tell you honestly what fits inside it and what does not. That is a more useful conversation than pretending everything fits.
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Yes. Scoping conversations and written proposals cost nothing and carry no obligation. We will also provide a written quote for a grant application without charging for it.
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Yes, and they are meaningful. Registered charities, non-profits and small local businesses get reduced rates on every service, because a tight budget should not be the reason an organisation is stuck with software that does not work.
Registered charities and the volunteer-run groups that support them, non-profits and community organisations, and small owner-operated businesses including new ventures still finding their feet.
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There is no application and no paperwork. Mention it in your first message and the reduced rate is built into the quote you receive.
It depends on the project and the organisation, and you are told exactly what it is before committing to anything. We do not publish a single percentage because it would be either misleading or useless.
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Often, yes, and they are widely underused. Google for Nonprofits, TechSoup Canada, community foundations and your existing funders are all worth approaching. We wrote a guide to what is actually available.
If you are small and owner-operated, yes. Ask when you get in touch and we will tell you straight rather than making you guess.
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Four stages. Scope: a conversation about the problem, not the tech. Plan: a written proposal with price and timeline. Build: short cycles with something working at the end of each one. Ship and support: deploy, hand over documented code you own outright.
A straightforward marketing site takes two to four weeks from kickoff. Applications and internal tools usually run six to twelve weeks, delivered in cycles so you see something working every week rather than waiting until the end.
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Completely. Code lives in your repositories, hosting and domains are registered in your name, and everything is documented at handover. There is no licence to keep paying and no lock-in forcing you to stay.
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You keep everything, because it was always in your accounts. Documentation and a clean handover are part of the work rather than an extra, precisely so that another developer can pick it up.
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Most of it is at the start, agreeing what gets built. After that, expect a short check-in each cycle to look at progress. The most common cause of delay is waiting on content from the client side, so having copy and images ready helps more than anything else.
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Yes, and it is normal. You hear the cost and timeline effect before the work happens, so a change is a decision you make rather than a surprise on the invoice.
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Yes. Content is set up so you can change text and images without a developer in the loop, using either a CMS or markdown depending on what suits your team.
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Yes, routinely. Send yours over or ask and we will provide one.
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Often. Being brought in for a specific piece, or to work alongside an in-house team, is common and works fine as long as the boundaries are clear up front.
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A description of the problem. Not a specification, not a wireframe, just what is going wrong or what you are trying to do. Everything else comes out of the scoping conversation.
Astro and Next.js for sites and applications, React and TypeScript on the front end, Node.js and Python on the back, PostgreSQL and MongoDB for data, and Netlify or Vercel for hosting. Chosen per project rather than by habit.
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Only when it is genuinely the right answer, which is less often than it is used. For most marketing sites a static build is faster, safer and cheaper to run. For a large store or complex memberships, WordPress earns its place.
Wherever you need it. AWS and Google Cloud both have Canadian regions in Montreal and Toronto, and hosting in Canada is straightforward and usually costs nothing extra. If your customers ask where their data lives, that is worth having a clear answer to.
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Usually not. PIPEDA does not require personal data to be stored in Canada, provided you are transparent and the data receives comparable protection. Rules that do mandate it are mostly provincial public-sector rules. Health data and government contracts are stricter, so check those specifically.
Yes. Sites are built to WCAG 2.1 AA, which covers keyboard navigation, screen readers, colour contrast and focus states. It is part of the build rather than a paid extra.
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Sub-second loads and 95 or better on Lighthouse are the target, and normally the result. Static output with no render-blocking JavaScript is most of how that is achieved.
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The technical groundwork, yes: structured data, sitemaps, clean semantics, fast pages and unique metadata per page. Ongoing content and link building is a different discipline and we will say so rather than sell it.
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A static site has no database to breach, no admin login to brute force and no plugins running server-side code, which removes most of the attack surface. Where an application does need those, authentication and permissions are built to hold up.
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Usually. If your CRM, accounting package or booking system has an API or webhooks, it can be connected. Integration between systems you already pay for is one of the highest-value things to automate.
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Backups you have actually tested, not just configured. Restoring from a backup nobody has ever tried is a plan with an unknown failure rate.
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Often not, and we will say so. It is worth it when the task involves unstructured language, the rules are fuzzy, you can tell right from wrong, and a wrong answer is survivable. Fail any of those and something simpler is the better build.
Answering questions over your own documents, extracting structure from messy input like invoices and forms, triaging and routing incoming work, and generating first drafts a human then edits. Those four cover most of the real value.
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Chatbots on the front page, which almost nobody wants. Anything needing exact numbers, because models are not calculators. And automating a process nobody has written down, which just scales the confusion.
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Less than most people expect. A well-built retrieval system for a small business commonly runs in the tens of dollars a month. Costs balloon from stuffing whole documents into every request and using the largest model for tasks a smaller one handles.
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It can, which is why systems are built to answer from your data with sources attached rather than from memory. Anything that matters gets a human in the loop, and evaluation is built in from the start so you know when it works.
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A system that takes multiple steps toward a goal without being prompted at each one. Impressive in demos, frequently disappointing in production, and the gap is engineering rather than model quality.
Worth it when your team already uses an AI assistant daily, the information lives in a system with an API, and people ask the same questions repeatedly. Start with one read-only server answering a single question, which takes days and cannot break anything.
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It is, when scoped properly. Expose the narrowest set of capabilities that answers the real questions, separate read from write, put approval gates on anything destructive, log every call, and give it its own credentials rather than a shared admin account.
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Call, email, or use the contact form. The form asks a few questions up front so the first reply can be useful rather than a request for more information.
Within one business day, usually sooner. If it is urgent, calling is faster than the form.
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Alberta, Canada. Work happens remotely with clients across Canada and the United States, over email, video calls and shared preview links.
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Regularly. Location has never been a constraint on this kind of work. Being Canadian helps with timezone overlap, invoicing in Canadian dollars and familiarity with the privacy rules, but it is not the deciding factor.
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That is the preferred starting point. No pitch deck, no pressure, and no obligation. You will get an honest read on whether the thing is worth building at all.
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That is the normal case and completely fine. Describe what is going wrong or what takes too long, and working out the shape of the solution is part of the job.
