Borrowing it
Nothing to install: this file belongs to EgiStr/linkedin-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/EgiStr/linkedin-mcp/main/.opencode/skills/linkedin-mcp/SKILL.mdgit clone --depth 1 https://github.com/EgiStr/linkedin-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/egistr/linkedin-mcp/linkedin-mcp)<a href="https://agentmods.dev/skills/egistr/linkedin-mcp/linkedin-mcp"><img src="https://agentmods.dev/badge/skills/egistr/linkedin-mcp/linkedin-mcp/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/egistr/linkedin-mcp/linkedin-mcp"><img src="https://agentmods.dev/badge/skills/egistr/linkedin-mcp/linkedin-mcp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.01477 |
| Opus 5 | $0.00000 | $0.00739 |
| Sonnet 5 | $0.00000 | $0.00295 |
| Haiku 4.5 | $0.00000 | $0.00148 |
Grade A, and why
linkedin-mcp scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LinkedIn MCP Server Skill
Use this skill when the user wants to interact with LinkedIn, post content, view their profile, manage their LinkedIn feed, or integrate LinkedIn with AI agents like Claude Code, OpenCode, or Cursor.
Trigger phrases: "linkedin", "linkedin mcp", "posting linkedin", "buat postingan linkedin", "linkedin profile", "social media", "koneksi linkedin"
Overview
LinkedIn MCP Server is an open-source MCP (Model Context Protocol) server that connects AI agents to LinkedIn through the official LinkedIn REST API. It provides tools for profiles, posts (with image upload), feed, and OAuth PKCE authentication.
GitHub: https://github.com/EgiStr/linkedin-mcp
npm: @egistr/linkedin-mcp
Prerequisites
- Node.js >= 18 — verify with
node --version - LinkedIn Developer App — create at https://www.linkedin.com/developers/apps
- Add product: Sign In with LinkedIn using OpenID Connect
- Add product: Share on LinkedIn (untuk fitur posting)
- Note: Client ID dan Client Secret
Installation
Option A: Quick Run (npx)
LINKEDIN_ACCESS_TOKEN=AQX_... npx @EgiStr/linkedin-mcp
Option B: Install from GitHub
git clone https://github.com/EgiStr/linkedin-mcp.git
cd linkedin-mcp
npm install
npm run build
LINKEDIN_ACCESS_TOKEN=AQX_... node dist/index.js
Option C: Claude Desktop
Add to claude_desktop_config.json:
{
"mcpServers": {
"linkedin": {
"command": "npx",
"args": ["-y", "@EgiStr/linkedin-mcp"],
"env": {
"LINKEDIN_ACCESS_TOKEN": "AQX_..."
}
}
}
}
Option D: OpenCode
Add to opencode.json:
{
"mcpServers": {
"linkedin": {
"command": "node",
"args": ["path/to/linkedin-mcp/dist/index.js"],
"env": {
"LINKEDIN_ACCESS_TOKEN": "AQX_..."
}
}
}
}
Authentication
Method 1: Access Token (Quick)
- Buka https://www.linkedin.com/developers/tools/oauth/token-generator
- Pilih app → centang scopes:
openid,profile,email,w_member_social - Generate → copy token
- Set sebagai
LINKEDIN_ACCESS_TOKENenv var
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 180 lines · 0 tokens per session scan A 8d2635beb861
linkedin-mcp is a skill published in the GitHub repository EgiStr/linkedin-mcp (0 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,477 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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