MCP Observatory
github analyzed 1b043aa

alexey-pelykh/linkedctl

github

OAuth2 CLI and MCP server for the LinkedIn API

maintainer
alexey-pelykh
license
AGPL-3.0
first seen
2026-06-09
last seen
2026-06-09
releases · 30d
0
short id
risk 36/100 · heuristic grade
C elevated
  • capability exposureinferred+22
  • tool safetyinferred+14

inferred

The A–E grade is our heuristic synthesis — a "review this" prompt, not a verdict. Each factor is tagged by what backs it: attested (a verifiable record), reported (a third party's claim), or inferred (our own heuristic, e.g. permissions). See methodology.

graded 8m ago · see ecosystem CVEs →

risk trajectory 2 movements
  • B · 33 → C · 36
  • C · 46 → B · 33
capability exposure grade factor +22
Inferred surface — each links to servers holding it:
vulnerabilities 0 CVEs

No known CVEs for this server.

tool safety 2 findings · grade factor +14
  1. hightoxic flow (lethal trifecta)

    lethal trifecta reachable across this server's tools: private-data access + untrusted-content ingestion + network exfil

  2. lowexfiltration combo

    sensitive read and network capabilities split across this server's tools

skills & danger signals github-tarball
prompt-surface shipped agent-instruction files + hidden-content / dangerous-code findings — quoted from the analyzed source

analyzed commit 1b043aa · analyzer v18 · 5h ago

skills & prompt files 2

embed badge readme-ready
live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/github:alexey-pelykh/linkedctl/badge.svg)](https://mcpobservatory.com/servers/github:alexey-pelykh/linkedctl/security)

Heuristic, inferred signals — false positives (legitimately powerful tools, forks, language ports) are expected. Treat each as "review this", not a verdict. See the ecosystem-wide picture on the security hub, or the fleet security of alexey-pelykh.