MCP SERVER DEVELOPMENT

MCP server development - your product, usable by every AI agent.

We build Model Context Protocol servers that expose your product's real capabilities as safe, well-designed tools, so Claude, ChatGPT and agent platforms can actually use it. For SaaS founders and CTOs who keep hearing "do you have an MCP server?" and want a serious answer within weeks.

A typical build takes one to two weeks at a fixed price: tool and resource design, OAuth or API-key auth, rate limits and safe scopes, hosted or self-hosted deployment, plus docs and directory listing guidance. Senior engineers only, and you own all the code.

Fixed scope · 1-2 weeks typical · yours completely

Tool design agents can actually use

The hard part is not the protocol, it is deciding which tools to expose and how. We design a small set of well-named tools with clear descriptions and tight schemas, so models call them correctly instead of guessing.

Auth and safe scopes

An MCP server is a new door into your product, so we treat it like one. OAuth or API-key auth, per-user permissions, and read-only or scoped tools where a wrong call would hurt. Destructive actions stay behind explicit confirmation.

Rate limits and abuse protection

Agents retry, loop and parallelise in ways human users never do. We add rate limiting, request budgets and sensible timeouts so one runaway agent session cannot flood your API or your bill. You set the limits; we enforce them.

Hosted or self-hosted

We deploy the server as a remote MCP endpoint on your infrastructure or ours, or ship it as a package your customers run themselves. Either way it is production-grade: logging, monitoring and error handling included, not a weekend prototype.

Docs and listing guidance

A server nobody can find or install is wasted work. You get developer docs, connection instructions for Claude, ChatGPT and common agent clients, and guidance on getting listed in MCP directories and marketplaces as they mature.

Our process

One call to a live MCP server

SCOPING CALL

One call to map your API, decide which capabilities become tools, and agree on auth and hosting. You get a fixed price and a delivery date, usually within one to two weeks. If MCP is the wrong move for you, we say so.

BUILD AND TEST

We design the tools, implement the server, wire up auth, scopes and rate limits, and test it against Claude, ChatGPT and popular agent frameworks. You see it working against your real product early, not on demo data at the end.

SHIP AND HANDOVER

We deploy to your infrastructure or ours, hand over the full codebase, and walk your team through it. Docs, connection guides and listing advice included. The code is yours; there is no lock-in and no retainer required.

Common questions

What is an MCP server and does my product need one?

MCP (Model Context Protocol) is an open standard that lets AI assistants like Claude and ChatGPT call external tools. An MCP server exposes your product's capabilities in that format, so agents can search, create and update things in your system on a user's behalf. If your customers use AI assistants and your product has an API, an MCP server makes your product usable inside those assistants instead of being copy-pasted around them.

What does MCP server development cost?

We quote a fixed price after one scoping call, based on how many tools you need, the auth model and where it will be hosted. There is no hourly billing and the price does not move once agreed. Most MCP server builds are small, fixed-scope projects, so this sits at the lower end of what we build. If the scope turns out bigger than it looks, we tell you on the call, not halfway through.

How long does it take to build an MCP server?

Typically one to two weeks from kickoff to a production deployment, for a product with an existing API. The timeline mostly depends on how much of your API surface you want exposed and how complex the auth is. We agree a delivery date on the scoping call and treat it as a real deadline. If your API needs work first, that becomes visible in scoping and we plan it in rather than discovering it later.

Will it work with Claude, ChatGPT and other agent platforms?

Yes. MCP started at Anthropic but has become the common standard: Claude, ChatGPT and most agent frameworks and IDE assistants can connect to a remote MCP server. We build against the current specification and test with the major clients before handover. Where a platform has quirks in how it handles auth or tool schemas, we handle those in the implementation and document them, so you are not debugging client differences yourself.

Can you build an MCP server on top of our existing API?

Yes, that is the normal case. We start from your running API and its docs, pick the capabilities worth exposing, and design tools around user intent rather than mirroring every endpoint. A good MCP server is usually a curated layer over your API, not a one-to-one wrapper. If parts of your API are not ready to be called by agents, we scope those out explicitly and tell you what would need to change.

Who owns the code, and what about our data and GDPR?

You own everything. The full source code, infrastructure config and docs transfer to you at handover, with no license fees and no lock-in. We are an EU company (Qorinx OU, Tallinn) and work under EU contracts, with GDPR-compliant processing agreements where needed. The server runs on your infrastructure or an EU host you approve, so your data flows stay under your control, and we design the scopes so agents only see what they should.

Do you also maintain the MCP server after launch?

Yes, if you want us to. The handover is designed so your own team can run it: clean code, docs and a walkthrough. The MCP specification is still evolving, so it can be worth keeping a small maintenance arrangement to track spec and client changes. That is optional and separately scoped; there is no forced retainer, and you can take over fully at any time.

HOW WE BUILD

How we build.

Tested on every build

Unit and feature tests with PHPUnit / Pest - standard, not an add-on.

GitHub Actions CI/CD

Automated tests and deploys on every push. No manual releases.

Senior code review

Every line reviewed by a senior engineer. No juniors on your budget.

You own everything

Full source code, infrastructure and documentation transfer on handoff.

Being asked for an MCP server? Get a fixed price on one call.

Book a free consultation to discuss your project and see how we can help.