What is MCPQL (SQL Server)?
MCPQL (SQL Server) is a infrastructure that Connects to SQL Server databases through 10 specialized tools for table analysis, stored procedure inspection, data preview with filtering, column statistics, query execution, and database object sear. It has a Nerq Trust Score of 41/100 (E). 12 GitHub stars. Published by https://github.com/hendrickcastro/mcpql. Last analyzed April 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 12 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What MCPQL (SQL Server) Does
MCPQL (SQL Server) is a mcp_server in the infrastructure category. Connects to SQL Server databases through 10 specialized tools for table analysis, stored procedure inspection, data preview with filtering, column statistics, query execution, and database object search with support for multiple authentication methods and connection pooling.. It is published by https://github.com/hendrickcastro/mcpql and has no specified license. With 12 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use MCPQL (SQL Server)
MCPQL (SQL Server) is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | https://github.com/hendrickcastro/mcpql |
|---|---|
| Category | infrastructure |
| 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=mcpql-sql-server
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| n8n | 78 | 177.3K |
| langflow | 88 | 145.4K |
| dify | 79 | 130.8K |
| open-webui | 75 | 124.5K |
| gemini-cli | 72 | 99.5K |
Frequently Asked Questions
Last updated April 2026. Trust scores based on automated analysis of public data.