Mssql MCP Servers: 18 Implementations Compared

The MCP ecosystem often has several independent packages implementing the same tool — and "Mssql" currently has 18. 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.

ImplementationPackageTrustCapabilityCoverageFindingsScanned
Mssql Source verifiedbest by eamonboyle @eamonboyle/mssql-mcp npm A 100/100 Minimal Source 0 2026-09-07
Mssql Source verified by lincolnminto @lincolnminto/mssql-mcp-server npm A 100/100 Minimal Source 0 2026-09-07
Microsoft SQL Server by vicagbasi mssql-mcp-server npm A 99/100 Minimal Source 0 2026-08-25
Mssql by connorbritain @connorbritain/mssql-mcp-server npm A 99/100 Minimal Source 0 2026-09-07
Mssql by jhlee111 @jhlee111/mssql-mcp-server npm A 99/100 Minimal Source 0 2026-09-07
Mssql by yuuzu @yuuzu/mssql-mcp npm A 99/100 Minimal Source 0 2026-09-07
Mssql by elad-nofy @elad-nofy/mssql-mcp npm A 99/100 Minimal Source 0 2026-09-07
Mssql by dhipskind253 @dhipskind253/mssql-mcp npm A 99/100 Minimal Source 0 2026-09-07
Mssql by BYMCS mssql-mcp npm A 96/100 Moderate Source 0 2026-09-07
Mssql by vini-cius @vini-cius/mcp-mssql-server npm A 96/100 Moderate Source 0 2026-09-07
Mssql by esasiyun17 @esasiyun17/mssql-mcp npm A 96/100 Moderate Source 0 2026-09-07
Mssql by iforge.it @iforge.it/mssql-mcp npm A 96/100 Moderate Source 0 2026-09-07
Mssql by SerenaHangSinclair mcp-mssql-server PyPI A 96/100 Moderate Source 0 2026-08-25
Mssql by daedalus mcp-server-mssql PyPI A 96/100 Moderate Source 0 2026-08-25
Mssql by PyPI mssql-mcp PyPI A 95/100 Moderate Source 0 2026-08-25
Mssql by PyPI mssql-mcp-server PyPI A 95/100 Moderate Source 0 2026-08-25
Mssql by npm mcp-mssql-server npm A 92/100 High Source 5 2026-09-07
Mssql by adriancy @adriancy/mcp-mssql npm B 87/100 Minimal Metadata 0 2026-09-07

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.