The MCP ecosystem often has several independent packages implementing the same tool — and "Mssql" currently has 13. Every one of them was scanned with the same deterministic engine, so the numbers below are directly comparable: the Trust Score (A–F), the capability blast radius, and how much of the package the scan could actually inspect. They are ranked by score; ties break toward unscoped, longer-established packages.
| Implementation | Package | Trust | Capability | Coverage | Findings | Scanned |
|---|---|---|---|---|---|---|
| Mssql Source verifiedbest by eamonboyle | @eamonboyle/mssql-mcp
npm |
A 100/100 | Minimal | Source | 0 | 2026-07-22 |
| Microsoft SQL Server by vicagbasi | mssql-mcp-server
npm |
A 100/100 | Minimal | Source | 0 | 2026-07-22 |
| Mssql by BYMCS | mssql-mcp
npm |
A 100/100 | Minimal | Source | 0 | 2026-07-22 |
| Mssql by yuuzu | @yuuzu/mssql-mcp
npm |
A 100/100 | Minimal | Source | 0 | 2026-07-22 |
| Mssql by adriancy | @adriancy/mcp-mssql
npm |
A 100/100 | Minimal | Metadata | 0 | 2026-07-22 |
| Mssql by esasiyun17 | @esasiyun17/mssql-mcp
npm |
A 100/100 | Minimal | Source | 0 | 2026-07-22 |
| Mssql by dhipskind253 | @dhipskind253/mssql-mcp
npm |
A 100/100 | Minimal | Source | 0 | 2026-07-22 |
| Mssql by jhlee111 | @jhlee111/mssql-mcp-server
npm |
A 100/100 | Minimal | Source | 0 | 2026-07-22 |
| Mssql by vini-cius | @vini-cius/mcp-mssql-server
npm |
A 100/100 | Minimal | Source | 0 | 2026-07-22 |
| Mssql by connorbritain | @connorbritain/mssql-mcp-server
npm |
A 100/100 | Minimal | Source | 0 | 2026-07-22 |
| Mssql by PyPI | mssql-mcp-server
PyPI |
A 98/100 | Minimal | Source | 1 | 2026-07-22 |
| Mssql by SerenaHangSinclair | mcp-mssql-server
PyPI |
A 98/100 | Minimal | Source | 1 | 2026-07-22 |
| Mssql by npm | mcp-mssql-server
npm |
A 98/100 | High | Source | 6 | 2026-07-22 |
A higher-ranked implementation is not "the official one" — ranking reflects only what the deterministic scan found in each published package. Open an implementation to read its individual findings with evidence, its scan history per version, and to grab an embeddable badge. Scores are automated opinions, recomputed on every rescan.