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MCP Developer
Right now every company is scrambling to use AI. Almost none of them have built the part that lets AI actually reach their own tools, data, and systems. MCP development is handing out pickaxes while everyone else is out mining for gold. I build the pickaxes: MCP servers that connect what you already run to the models and agents your team is trying to put to work.
01 · What is MCP?
The plumbing behind AI that actually does something
The Model Context Protocol, MCP, is a common way for an LLM or an AI agent to reach into your world: your CRM, your internal tools, your databases, your file storage, whatever runs the business. Before MCP, every one of those hookups was a custom, one-off integration built for a single assistant. MCP standardises it, so you build the connection once and any MCP-aware model or agent, Claude, ChatGPT, or your own internal agent, can use it. It is the difference between an AI that can talk about your business and one that can actually work inside it.
02 · What I build
MCP servers, built to actually be used
Most MCP demos fall apart the moment they meet real data or real permissions. I build for the second part.
MCP servers
I design and build the server itself: the tools it exposes, the data it can touch, and the boundaries around what an agent is and isn’t allowed to do.
Tool & data integrations
Wiring your CRM, internal admin panels, databases, or SaaS APIs into a form an agent can call reliably, not just something that works in a demo and breaks on real accounts.
Agent-ready internal systems
Taking software you already run and making it something an LLM or an agent can operate on your behalf: look things up, file things, trigger the next step.
Proof-of-concept builds
A working MCP server against one real system in days — often wired up fast with n8n to prototype the workflow — so you can see whether the idea earns its budget before you commit to the full build.
03 · Why me
I ship these, I don’t just talk about them
I’m a hands-on iOS and full-stack developer shipping software since 2000, and MCP is part of my day-to-day work now, not a slide I put together for a pitch. I build these servers myself, put them into production, and write about what actually works.
- Shipping production software since 2000, most of it on iOS
- Building and shipping real MCP servers and LLM integrations — connecting internal systems and APIs to the models and agents that use them
- I write about MCP: What is MCP and Why Should You Care?
- AI-assisted development is part of how I build — see my Claude Code debugging workflow
- Based in Tallinn, working with companies across Europe, remote or on-site
05 · FAQ
Frequently asked questions
What does an MCP developer do?
An MCP developer builds the connections that let AI models and agents actually reach a company’s own tools, data, and systems. In practice that means designing and building MCP servers: the tools the server exposes, the data it can touch, and the boundaries around what an agent is and isn’t allowed to do, so an LLM can work inside your business instead of just talking about it.
What is an MCP server?
An MCP server is a standardised connector built on the Model Context Protocol. You build the connection to a system once, and any MCP-aware model or agent, Claude, ChatGPT, or your own internal agent, can use it. Before MCP, every one of those hookups was a custom, one-off integration built for a single assistant.
How quickly can you build an MCP server?
A proof-of-concept MCP server against one real system can be working in days, often wired up fast with n8n to prototype the workflow. That lets you see whether the idea earns its budget before committing to the full production build.
Do you work remotely?
Yes. I’m based in Tallinn, Estonia, and work with companies across Europe, remote or on-site.
04 · Who builds this
Want to know who you’d be working with?
I’m a hands-on iOS and AI developer who ships this into production, not a middleman reselling someone else’s work. Here’s the background — and if you’d rather just talk, my inbox is open.