Guides to MCP, skills and AI tools in practice
Long-form, regularly updated explainers on the technology behind today's AI agents. Written by the team that runs it inside the EU for European companies.
AI agents and agentic AI
What agents are, how they differ from chatbots, how they work, and what it takes to run them safely in a company.
What is agentic AI? Agents, autonomy and how they differ from generative AI
Agentic AI is AI that pursues a goal by planning, using tools and checking its own results, rather than answering a single prompt. Here is what an AI agent actually is, how agents work under the hood, how they differ from chatbots and RPA, where they are used, and what it takes to run them safely in a company.
Read the guide →Model Context Protocol
The open standard that lets AI models use tools and data. What it is, how it works, and how to run it securely.
Model Context Protocol (MCP): the complete guide
What MCP is, why it exists, how hosts, clients and servers fit together, what the protocol actually sends over the wire, and how to run it safely in a company. Updated for the 2026 ecosystem.
Read the guide →What is an MCP server? A plain-language explainer with an example
An MCP server is a small program that gives an AI model access to tools and data through the Model Context Protocol. Here is what it does, what it looks like, how to connect one, and when to write your own.
MCP security best practices: the threat model and a checklist
The Model Context Protocol gives AI agents real access to real systems. Here are the attacks that have actually happened, why they work, and the controls that stop them, from server allowlists to treating every tool result as untrusted input.
What is an MCP gateway, and when do you need one?
An MCP gateway is a single control point between AI clients and MCP servers: allowlists, per-user tool policy, credential injection, regional hosting and a full log. Here is what it does, when a company needs one, and what to look for.
The best MCP servers for teams in 2026
The MCP servers that show up in real company rollouts, grouped by what they connect to, with notes on hosting, scopes and what to watch for. Developer tools, project management, data, browser automation and infrastructure.
Agent skills
Reusable instruction packages that make an agent good at a specific task. How they work, how to build your own, and how they differ from MCP.
Claude skills explained: what they are, how to install them, and how to write your own
Agent skills are folders with a SKILL.md file that teach Claude how to do a specific task. Here is how they work in Claude Code, Claude.ai and the API, where to find good ones, how to build your own, and what to watch for before rolling them out to a team.
Read the guide →Claude Code
Anthropic's coding agent for the terminal. Installation, cost, security, and how to run it in an EU environment.
What is Claude Code? A complete guide to Anthropic's coding agent
Claude Code is Anthropic's agentic coding tool that runs in your terminal, reads your codebase, edits files, runs tests and opens pull requests. This guide covers what it does, how it compares with Cursor, Codex and Copilot, how to install it, what it costs, and how to run it in an EU environment with policy and logging.
Read the guide →How to install Claude Code on macOS, Linux and Windows
Step-by-step installation of Claude Code with the native installer or npm, first sign-in, project setup with CLAUDE.md, the VS Code and JetBrains integrations, common errors, and how to run it through an EU region or a gateway.
Is Claude Code free? Claude Code pricing and cost control explained
What Claude Code costs: the differences between Pro, Max, Team, Enterprise and API billing, what a usage allowance means in practice, how much a developer typically spends per month, and how to keep costs under control across a team.
Prompts and prompt engineering
How to write instructions that get good answers, from the basics to reusable patterns for teams.
What is a prompt? How to write prompts that work at work
A prompt is the instruction you give an AI model. This guide explains what goes into a good one, the techniques that reliably improve answers, the mistakes that ruin them, and how teams move from ad-hoc prompts to reusable skills.
Read the guide →The same tools, in your EU region, under your control
A 20-minute walkthrough with an engineer. We map it to your tools, your MCP servers and your budget model.