Linkedin Mcp — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Linkedin Mcp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
A Model Context Protocol (MCP) server for linkedin to apply Jobs and search through feed seamlessly.
This uses Unoffical Linkedin API Docs for hitting at the clients Credentials.
Fetch user profiles using get_profile() function Extract key information such as name, headline, and current position
get_feed_posts()resumes (PDF format)After cloning the repo, adjust the <LOCAL_PATH> accordingly
{
"linkedin":{
"command":"uv",
"args": [
"--directory",
"<LOCAL_PATH>",
"run",
"linkedin.py"
]
}
}
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~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.