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glama

LinkedIn Automation MCP Server

An MCP server for LinkedIn automation that provides tools for automatically posting messages to LinkedIn, scheduling posts, and managing LinkedIn API integration.

→ pashaarshad/my-first-MCP· listed on glama
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// key findings
🚨
Reads files from sensitive locations
Touches: .env, .env
⚠️
Known vulnerabilities in dependencies: 3 high
Affects packages this MCP installs at runtime. Upgrade or remove the affected dependency.
🔐
You'll be asked for 1 credential: LINKEDIN_CLIENT_SECRET
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// known CVEs in dependencies3 high

Disclosed vulnerabilities in this server's declared npm dependencies (via OSV). Whether each is reachable depends on the installed versions.

high@modelcontextprotocol/sdk@1.15.1GHSA-345p-7cg4-v4c7

@modelcontextprotocol/sdk has cross-client data leak via shared server/transport instance reuse

high@modelcontextprotocol/sdk@1.15.1GHSA-8r9q-7v3j-jr4g

Anthropic's MCP TypeScript SDK has a ReDoS vulnerability

high@modelcontextprotocol/sdk@1.15.1GHSA-w48q-cv73-mx4w

Model Context Protocol (MCP) TypeScript SDK does not enable DNS rebinding protection by default

Depend on this server? Get alerted when its CVEs change.Watch this server free →
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configLINKEDIN_CLIENT_ID
🔐 secretLINKEDIN_CLIENT_SECRET
configLINKEDIN_REDIRECT_URI
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 8 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/pashaarshad-my-first-mcp-tdnpt5)](https://m8ven.ai/mcp/pashaarshad-my-first-mcp-tdnpt5)
commit: 250ed5b29519c90da9e91254ed2fb6371bf5c76c
code hash: beaa608a49eb894d4343215f45f4ed0e81923162f097028be3395b831d211d01
verified: 6/24/2026, 10:04:35 AM
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