Work with AI: ODSBox-AIConnect Overview

Work with AI: ODSBox-AIConnect Overview#

What is ODSBox-AIConnect?#

ODSBox-AIConnect is a Model Context Protocol (MCP) service that enables AI-assisted workflows for working with ASAM ODS data. It’s built on top of the odsbox-jaquel-mcp project and integrates seamlessly with VS Code’s Copilot Chat, allowing you to use natural language to explore, query, and analyze ASAM ODS data.

How It Works#

Rather than manually writing complex queries and analysis scripts, you can:

  1. Connect to your ASAM ODS server — Provide connection details or use environment variables

  2. Ask questions in plain English — Use VS Code Copilot Chat to explore your data

  3. Generate code and analysis workflows — Let AI assist in creating Jupyter notebooks, Python scripts, and data visualizations

  4. Verify and refine results — Review generated code and prompts for accuracy

Key Features#

  • Schema Inspection — Explore available entities, relationships, and data structures

  • JAQueL Query Assistance — Build, validate, and explain ASAM ODS queries using natural language

  • Data Access & Analysis — Retrieve timeseries and submatrix data with AI-guided workflows

  • Code Generation — Automatically generate Python scripts for bulk data fetching and visualization

  • Measurement Comparison — Generate Jupyter notebooks for comparing measurements and analyzing correlations

Learning Path#

📘 Simple Data Interaction#

Start here to understand the basics: Simple Data Interaction

Learn how to connect to an ASAM ODS server and ask AI-powered questions about your data.

📊 Creating Analysis Notebooks#

Next, create reproducible analysis workflows: Creating Analysis Notebooks

Use AI to generate Jupyter notebooks for thermal analysis or other measurement comparisons.

🎨 Creating Analysis Applications#

Finally, build interactive applications: Creating Analysis Applications

Leverage AI to create simple Python applications with user interfaces for data exploration and visualization.

Example Use Cases#

  • Data Exploration — Quickly understand what data is available in your ASAM ODS server

  • Query Development — Generate JAQueL queries using natural language descriptions

  • Performance Analysis — Compare measurements and identify correlations with AI assistance

  • Report Generation — Create Jupyter notebooks for automated reporting and analysis

  • Data Migration — Understand data models and generate migration scripts

Resources#

Next Steps#

Ready to get started? Head to Simple Data Interaction to begin your first AI-assisted ASAM ODS workflow!

License: Creative Commons BY-NC-SA 4.0
Based on: odsbox-jaquel-mcp by totonga