Claude Skills and MCP server development.
A Claude Skill is a capability you teach an AI permanently: your quote format, your review steps, your tone of voice — defined once, then identical every time. The field is new and almost nobody offers it yet. I build those skills, and the MCP servers that connect them to your systems.
The difference from a good prompt
A good prompt is a one-off instruction: it lives in the head of the person who wrote it, and next time it is slightly different.
A skill is the same thing, but written down, versioned and identical for everyone. Your quote format stops being what somebody remembers and becomes what is defined — same result regardless of who triggers it.
MCP servers: the route to your data
A skill is only as useful as what it can reach: as long as an AI cannot see your customer records or your price list, it stays a text generator that has to be hand-fed everything.
The Model Context Protocol is the interface for that — an MCP server makes an internal system reachable under control, with clearly bounded permissions rather than blanket access to everything.
- Claude Skills for your recurring tasks and formats
- MCP servers: make internal systems and data reachable for AI, safely
- Plugins and bindings into your existing software
- Operations, versioning and permissions — so it does not stay a prototype
Why most of this stalls at the prototype
An impressive prototype is quick to build — that is what is seductive about it. What is missing afterwards is the unglamorous part: who is allowed to use this? What happens when the format changes? Who maintains it when the in-house enthusiast moves department?
Those questions decide whether the thing is still in use six months later. So versioning, permissions and traceable operation are part of the scope, not a later phase.
Honest about maturity
The field is young and the tools change quickly. That argues for small first steps on a task that genuinely hurts — and against a programme that ties half your organisation to a technology that will look different in eighteen months.
It is not an argument against starting now: whoever has taken the first clean step can judge the second.
Questions about this
Do we have to use Claude for this?
For Claude Skills, yes — that is a Claude format. MCP, by contrast, is an open protocol now supported by several vendors, so an MCP server built for your systems is not tied to a single provider.
Can we develop it further ourselves afterwards?
Yes, and that is the goal. Skills and MCP servers are code like any other: it sits in your repository, with documentation and a handover. Whoever maintains software at your company can take it on.
How should we start?
With a single recurring task that is clearly bounded and costs time today — not with a platform strategy. A real case shows within a few weeks whether the approach pays off for you.
The other areas
Most projects touch more than one of these.
- Custom software development from HamburgCustom web applications, APIs and legacy modernisation from a freelance software engineer in Hamburg — including advice that sometimes argues against a rewrite.
- Process automation and AI integrationMap the workflow, automate the recurring work, extend the software you already run with AI instead of replacing it: process automation and AI integration for small and mid-sized companies, from Hamburg.
- AI training for business teams and managersHands-on AI training for business teams and managers, using your real tasks — covering the EU AI Act's AI-literacy obligation along the way. Hamburg and remote.
Sound like your problem?
A 30-minute call, no obligation. By the end you know whether it is worth doing — including when the answer is "probably not".