The MCP ecosystem often has several independent packages implementing the same tool — and "Linkedin" currently has 22. 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 |
|---|---|---|---|---|---|---|
| Linkedin Source verifiedbest by cesteral | @cesteral/linkedin-mcp
npm |
A 100/100 | Minimal | Source | 0 | 2026-07-22 |
| Linkedin Source verified by humanagencyp | @humanagencyp/linkedin-mcp
npm |
A 100/100 | Minimal | Source | 0 | 2026-07-22 |
| Linkedin Source verified by himanshu31shr | @himanshu31shr/linkedin-mcp-server
npm |
A 100/100 | Minimal | Source | 0 | 2026-07-22 |
| Linkedin by maheidem | @maheidem/linkedin-mcp
npm |
A 100/100 | High | Source | 15 | 2026-07-22 |
| Linkedin by pegasusheavy | @pegasusheavy/linkedin-mcp
npm |
A 100/100 | Moderate | Source | 1 | 2026-07-22 |
| Linkedin by egistr | @egistr/linkedin-mcp
npm |
A 100/100 | High | Source | 1 | 2026-07-22 |
| Linkedin by kembec | @kembec/linkedin-mcp
npm |
A 100/100 | High | Source | 1 | 2026-07-22 |
| Linkedin by hlos-ai | mcp-linkedin
npm |
A 100/100 | Minimal | Source | 0 | 2026-07-22 |
| Linkedin by micro-x-ai | @micro-x-ai/mcp-linkedin
npm |
A 100/100 | Minimal | Source | 0 | 2026-07-22 |
| Linkedin by isteam | @isteam/linkedin-mcp
npm |
A 100/100 | Minimal | Source | 0 | 2026-07-22 |
| Linkedin by mhdd_24 | @mhdd_24/linkedin-mcp
npm |
A 100/100 | Minimal | Source | 0 | 2026-07-22 |
| Linkedin by yilin-jing | @yilin-jing/linkedin-mcp
npm |
A 100/100 | Minimal | Source | 0 | 2026-07-22 |
| Linkedin by npm | linkedin-mcp
npm |
A 100/100 | Moderate | Source | 1 | 2026-07-22 |
| Linkedin by dev-hitesh-gupta | @dev-hitesh-gupta/linkedin-mcp-server
npm |
A 100/100 | Moderate | Source | 1 | 2026-07-22 |
| Linkedin by iflow-mcp | @iflow-mcp/linkedin-mcp-server
npm |
A 98/100 | Minimal | Source | 1 | 2026-07-22 |
| Linkedin by striderlabs | @striderlabs/mcp-linkedin
npm |
A 98/100 | Minimal | Source | 1 | 2026-07-22 |
| Linkedin by ldraney | @ldraney/mcp-linkedin
npm |
A 98/100 | Minimal | Source | 1 | 2026-07-22 |
| Linkedin by PyPI | linkedin-mcp
PyPI |
A 98/100 | Minimal | Source | 1 | 2026-07-22 |
| Linkedin by SARAMALI15792 | linkedin-mcp-server
PyPI |
A 98/100 | Minimal | Source | 1 | 2026-07-22 |
| Linkedin by stickerdaniel | mcp-server-linkedin
PyPI |
A 98/100 | High | Source | 3 | 2026-07-22 |
| Linkedin by mehmoodqureshi | @mehmoodqureshi/linkedin-mcp
npm |
A 94/100 | High | Source | 3 | 2026-07-22 |
| Linkedin by npm | linkedin-mcp-server
npm |
B 85/100 | 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.