Course · MCP & AI Tool Integration for Technical Teams

MCP Training for Technical Teams: Connect AI to Company Systems

AI agents are valuable when they can reach your organisation's data and systems. The Model Context Protocol (MCP) is the open standard that Claude, ChatGPT and coding tools use to connect to outside systems. This course teaches technical teams to build and run their own MCP servers, with permissions, logging and security.

Level
Advanced
Length
1 day
Hours
09:00–16:00
Tools
MCP with Claude, ChatGPT, Claude Code and Codex
Format
Onsite or online, hands-on

This course runs in-house at your organisation, taught in English or Thai, with cases and exercises rebuilt from the work of the department taking it.

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What you will be able to do

  • Explain the MCP architecture, and know which work should be a tool, a resource or a prompt
  • Build an MCP server that opens internal data or systems to AI assistants
  • Connect an MCP server to Claude, ChatGPT and the coding tools your team uses
  • Design permissions, authentication and call logging that can be audited later
  • Test and run MCP servers in production, while keeping cost and risk under control

One-day schedule

09:00–16:00 · topics, cases and exercises can be adapted to your organisation’s work · can be extended to two days for a longer workshop on real work

  1. 09:00–10:30

    What MCP is, and its building blocks

    • The problem MCP solves, and how it differs from calling an API directly
    • Tools, resources, prompts and the call lifecycle

    ActivityWork out which tasks in your organisation should be a tool, a resource or a prompt

  2. 10:30–10:45

    Break

  3. 10:45–12:00

    Building a first MCP server

    • Opening internal data for AI assistants to read
    • Tools that write data, and asking a person for approval first
    • Connecting the MCP server to Claude, ChatGPT and the coding tools your team uses

    ActivityBuild an MCP server that reads one set of internal data, then connect it to an AI assistant

  4. 12:00–13:00

    Lunch

  5. 13:00–14:30

    Permissions and security

    • Permissions, authentication and per-user data scope
    • Prompt injection through tool output, and limiting the damage
    • Logging calls so they can be audited later

    ActivityAdd authentication and logging to the server you built

  6. 14:30–14:45

    Break

  7. 14:45–16:00

    Running in production, and the workshop

    • Testing, logging and maintenance in production
    • Keeping cost and risk under control

    ActivityWorkshop: an MCP server for one of your organisation's real systems

Before the class

  • A team that can write code and understands basic APIs

Frequently asked questions

What background do we need?
The team must be able to write code and understand basic APIs. The course sits at level 4 of the AI Learning Layer and is for technical teams only.
Which AI tools does it work with?
MCP is an open standard. The main tools that support it today include Claude, ChatGPT and coding tools such as Claude Code and Codex. We adapt the examples to the tools your organisation already uses.

Contact

Talk to us about training your team

Send a rough brief — how many people, which functions, and what they should be able to do afterwards — and we reply with a format and a quotation. We correspond in English or Thai; quotations and documents are issued by Trainiac Co., Ltd. for your procurement process.

Email
hello@trainiac.ai
Phone
061-894-0404
LINE Official Account
@trainiac
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