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JAMI IT

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 properly once, then identical every time. The field is new and almost nobody offers this 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, or in a text file, of the person who wrote it, and next time it is slightly different — with a correspondingly different result.

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. That is the point at which a nice tool turns into a dependable step in the work — 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, your price list or your document store, 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 handing an AI blanket access to everything. What may be read, what may be written and what is not visible at all gets decided here rather than left to chance.

  • 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 in this field — that is precisely 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? How does anyone notice that since Tuesday it produces something different? 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 here, not a later phase.

Honest about maturity

The field is young. The tools change quickly, and anyone claiming otherwise is selling you a certainty that does not exist yet. That is an argument for small, bounded first steps on a task that genuinely hurts — and against a large programme that ties half your organisation to a technology that will look different in eighteen months.

It is explicitly not an argument against starting now: whoever has taken the first clean step can judge the second. Whoever waits has to learn all of it at once, later.

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.

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".

Ask for an intro call