Dataverse Explorer

Python CLI for querying the Dataverse API and exploring datasets. Give Cursor or your AI IDE the abiltity to run read/list queries via terminal rather than browsing the data via the slow web interface.

Features

✅ Auto-Discovery: Automatically detects tenant ID and Dataverse URL from Azure/PAC CLI ✅ SQL Queries: Write familiar SQL syntax - automatically translated to OData ✅ OAuth Device Code Flow: Secure authentication with automatic token caching ✅ Multiple Output Formats: Table, JSON, or CSV output ✅ CloudFlare WARP Compatible: SSL verification disabled by default ✅ Interactive Graph Visualization: Cytoscape.js-powered HTML reports

Prerequisites

• Python 3.11+
• Power Platform CLI.
  • It's easier if you install .NET via the installer here.
  • Then you can run dotnet tool install --global Microsoft.PowerApps.CLI.Tool to install the Power Platform CLI.
• Azure CLI (az command - you can install with brew install azure-cli on MacOS)
• Login to Azure CLI with az login

Cheat sheet

Setup:

make setup-env
source venv/bin/activate

./main.py --help
# This will open up a web browser for authentication and save your configuration in .env
./main.py configure

Listing Tables

# This will list the tables you have access to.
./main.py list-tables
# filter by tables matching 'account'
./main.py list-tables --filter account

Querying Data

• Run a SQL query against a specific table:

# Clean output (smart filtering of columns to reduce noise)
./main.py query "SELECT * FROM connectionreferences LIMIT 10"

# Further reduce noise by specifying the exact column
./main.py query "SELECT name FROM account" --quiet

# Show all columns including metadata
./main.py query "SELECT * FROM connectionreferences LIMIT 10" --all-columns

# Output as JSON
./main.py query "SELECT * FROM account" --format json | jq

# Output as JSON and pipe into jq
./main.py query "SELECT * FROM account LIMIT 5" --json | jq '.value[].name'

# CSV for spreadsheets
./main.py query "SELECT name FROM account" --format csv > output.csv

Dumping and Visualizing Data

# This will dump all data from the dataverse for offline analysis and graph visualization
./main.py dump-dataverse

# This will visualize the dumped dataverse data as a graph, explorable via Cytoscape.
./main.py visualize-graph --input dumped_dataverse.json --output graph.html