What is Microsoft Dataverse?
Microsoft Dataverse is a AI tool that Integrates with Microsoft Dataverse to execute FetchXML queries, create bulk contacts with progress tracking, and generate Chart.js reports while using intelligent prompts for large dataset management. It has a Nerq Trust Score of 36/100 (E). 2 GitHub stars. Published by https://github.com/adner/mcp_resourcelinks. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 2 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What Microsoft Dataverse Does
Microsoft Dataverse is a mcp_server in the AI tool category. Integrates with Microsoft Dataverse to execute FetchXML queries, create bulk contacts with progress tracking, and generate Chart.js reports while using intelligent prompts for large dataset management and markdown table transformation.. It is published by https://github.com/adner/mcp_resourcelinks and has no specified license. With 2 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use Microsoft Dataverse
Microsoft Dataverse is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | https://github.com/adner/mcp_resourcelinks |
|---|---|
| Category | AI tool |
| License | Not specified |
| Type | mcp_server |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=microsoft-dataverse
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| MarkItDown | 42 | 92.8K |
| Fetch | 50 | 89.4K |
| Time | 50 | 89.4K |
| Filesystem | 50 | 89.4K |
| Sequential Thinking | 50 | 89.4K |
Frequently Asked Questions
Last updated September 2026. Trust scores based on automated analysis of public data.