Summary  
This chapter demonstrates how to configure a local AI assistant to execute Python code and install required libraries programmatically through natural language prompts.

General domain of usage  
Data analysis and visualization

To add **Desktop Commander** to the config file, open Claude Desktop and navigate to **Settings → Developer → Edit Config**. In the JSON config file, locate the `"mcpServers"` section and add the necessary parameters. Once you've made the changes, **save the file**, then fully **close and reopen** Claude to apply the new configuration.



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### Python Setup for Data Analysis
Claude uses Python to perform powerful data cleaning, analysis, and visualization — all through simple prompts.
#### 1. Install Python (if not installed)
Open Claude and send:

Claude may request access to system tools — allow it, as all actions are secure and local.

#### 2. Install Python Data Libraries
Send this prompt to Claude:

Découvrez comment exploiter la puissance du MCP (Model Context Protocol) pour connecter Claude IA à vos outils quotidiens, automatiser des tâches et simplifier des flux de travail complexes. Ce cours couvre les bases des serveurs MCP, leur configuration et l'interaction avec votre environnement local. Vous explorerez également des cas d'utilisation concrets, de l'intégration des services Google tels que Gmail et Calendar à l'automatisation de l'analyse Excel et à la génération de présentations PowerPoint à l'aide de Python et de l'IA. Conçu pour les utilisateurs techniques et non techniques, ce cours vous aidera à obtenir des gains de productivité réels avec un effort manuel minimal.

Learn how MCP (Model Context Protocol) connects AI agents to your tools, apps, and data. This section introduces the core ideas behind MCP servers, shows you how to get started, and walks you through practical ways to interact with your local environment using Claude Desktop.

Unlock the power of AI to streamline data analysis, automate Excel reports, and generate insightful summaries with minimal effort. Explore how MCP tools and Python scripts—combined with natural language prompts—can transform static files into dynamic dashboards and structured reports. From raw CSVs to well-organized deliverables, every step becomes faster, smarter, and hands-free thanks to AI-powered automation.

Explore how MCP can connect Claude AI to your Gmail and Google Calendar, enabling powerful task automation and communication workflows. Learn how to install and configure these servers, manage emails directly through AI, and discover the broader potential of MCP integrations beyond Google tools.

MCP and Python Setup with Claude

Python Setup for Data Analysis

1. Install Python (if not installed)

2. Install Python Data Libraries

MCP and Python Setup with Claude

Python Setup for Data Analysis

1. Install Python (if not installed)

2. Install Python Data Libraries