Creating Custom AI Agents

Kursusindhold

Creating Custom AI Agents

Creating Custom AI Agents

1. Agentic AI Basics

Introduction to Model Context Protocol How the MCP Server Works

2. Setting Up and Configuration

Installing Tools Claude Desktop Creating MCP Server Configuration and Testing

3. Excel

Data Overview

Before setting up an MCP server for Excel, it's crucial to understand what tasks it should handle. This preparation step matters because it's how you make sure the server is actually useful for your needs.

Imagine an Excel file that simulates company data. It has five sheets: sales data, inventory status, employee info, expenses, and KPIs.

Note

What's important here is recognizing the pattern: even though the sheets cover different areas, they all follow a familiar table-like structure. That means the tools you set up for one can often be reused or adapted for others.

Once the MCP server is ready, you'll be able to interact with the Excel file easily and create meaningful reports without writing formulas, clicking through menus, or manually cleaning data. This is where Python, automation, and the right setup come together to save time and unlock insights.

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Tak for dine kommentarer!

Sektion 3. Kapitel 1

Spørg AI

Spørg AI

Spørg om hvad som helst eller prøv et af de foreslåede spørgsmål for at starte vores chat

Kursusindhold

Creating Custom AI Agents

Creating Custom AI Agents

1. Agentic AI Basics

Introduction to Model Context Protocol How the MCP Server Works

2. Setting Up and Configuration

Installing Tools Claude Desktop Creating MCP Server Configuration and Testing

3. Excel

Data Overview

Before setting up an MCP server for Excel, it's crucial to understand what tasks it should handle. This preparation step matters because it's how you make sure the server is actually useful for your needs.

Imagine an Excel file that simulates company data. It has five sheets: sales data, inventory status, employee info, expenses, and KPIs.

Note

What's important here is recognizing the pattern: even though the sheets cover different areas, they all follow a familiar table-like structure. That means the tools you set up for one can often be reused or adapted for others.

Once the MCP server is ready, you'll be able to interact with the Excel file easily and create meaningful reports without writing formulas, clicking through menus, or manually cleaning data. This is where Python, automation, and the right setup come together to save time and unlock insights.

Var alt klart?

Tak for dine kommentarer!

Sektion 3. Kapitel 1

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