Blog / Guides
Practical guides on MCP, personal data and AI agents.
Step-by-step explanations of how to connect your own data to ChatGPT, Claude or Grok through MCP (Model Context Protocol), how to organise information so an agent understands it, and what is worth keeping outside the chat. Each guide starts from a concrete problem and ends with something you can apply the same day.
Keep reading: Use cases with real data · Frequently asked questions
The AEPD has just published a ten-point guide for delegating tasks to AI assistants and agents. We summarise its five questions, why permissions matter more than instructions and what whoever gives you the agent should offer.
GPTBot, ClaudeBot, OAI-SearchBot… Not all AI bots do the same thing. We explain which ones you should let through, how you might be blocking them without knowing it and why at Traiker we have opened our website to them.
Many MCP configuration files contain hand-written keys that scanners don't see, with broad permissions and no expiry. We explain what the data says, why the file is sensitive even without keys and how to connect your AI safely.
ChatGPT can already choose ads using your past chats and its memory outside Europe, and Google is testing ads based on what it pulls from your Gmail and Photos. We explain what they use, how things stand in Spain and which settings are worth reviewing.
On personal ChatGPT, Claude and Grok accounts, your chats can be used to train their models unless you turn it off. We explain how to switch it off on each one, what the switch doesn't fix and why it pays to keep your data in a place of your own.
Claude can import ChatGPT's memory with a copy-and-paste prompt, but what travels is a summary, not your data. We explain how it works, what gets lost and why it pays to keep your context in a place of your own that all your assistants can read.
A template for AI agents combines a data schema, MCP tools and expert guidelines. It turns a generic assistant into one that is useful for something specific from day one. The value lies in deciding well what to store and how.
MCP is an open standard that connects AI assistants to your data and tools. Claude, OpenAI and xAI (Grok) already document how to use it. With an MCP server, your AI looks up your workouts or meals instead of you repeating them in every chat.
