Dataverse Python Production Code
Generates production-ready Python code to interact with Microsoft Dataverse using authenticated GitHub credentials.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add dataverse-python-production-code npx -- -y @trustedskills/dataverse-python-production-code
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"dataverse-python-production-code": {
"command": "npx",
"args": [
"-y",
"@trustedskills/dataverse-python-production-code"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill provides production-ready Python code for interacting with the Dataverse platform, enabling developers to efficiently manage data integration, querying, and API interactions within a backend environment.
When to use it
- Integrating Dataverse data into a Python-based backend application.
- Automating data retrieval or transformation workflows from Dataverse.
- Building scalable APIs that leverage Dataverse as a data source.
Key capabilities
- Production-grade Python scripts for Dataverse API interactions.
- Backend-focused code optimized for performance and reliability.
- Integration examples for common use cases like querying datasets and handling responses.
Example prompts
- "Generate Python code to fetch user data from Dataverse using the REST API."
- "Write a script that securely connects to Dataverse and exports dataset metadata."
- "Implement error handling in a Python function that interacts with the Dataverse API."
Tips & gotchas
- Ensure proper authentication credentials are configured before running scripts.
- Review Dataverse API rate limits to avoid exceeding usage thresholds during production deployment.
Tags
TrustedSkills Verification
Unlike other registries that point to live repositories, TrustedSkills pins every skill to a verified commit hash. This protects you from malicious updates — what you install today is exactly what was reviewed and verified.
Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🏢 Official
Published by the company or team that built the technology.