Borrowing it
Nothing to install: this file belongs to ahmedekramalsada/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/ahmedekramalsada/linkedin-mcp/main/AGENTS.mdgit clone --depth 1 https://github.com/ahmedekramalsada/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/instructions/ahmedekramalsada/linkedin-mcp/agents-md)<a href="https://agentmods.dev/instructions/ahmedekramalsada/linkedin-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/ahmedekramalsada/linkedin-mcp/agents-md/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/instructions/ahmedekramalsada/linkedin-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/ahmedekramalsada/linkedin-mcp/agents-md.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 | $0.00420 | $0.00420 |
| Opus 5.5 | $0.00168 | $0.00168 |
| Sonnet 5.5 | $0.00084 | $0.00084 |
| Haiku 4.5 | $0.00042 | $0.00042 |
Grade A, and why
linkedin-mcp AGENTS.md 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 2mo 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.
What it actually says
AGENTS.md
Import Path Bug
server.js imports from ./src/* (e.g., ./src/token-store.js), but source files are at root level. The server will fail to start until imports are corrected to ./token-store.js, ./auth.js, ./tools.js.
Environment
Required env vars (copy .env.example to .env):
LINKEDIN_CLIENT_ID,LINKEDIN_CLIENT_SECRET— from LinkedIn Developer appBASE_URL— public URL (e.g.,http://EC2_IP:3000)MCP_SECRET_KEY— generate withopenssl rand -hex 32
Commands
npm install
npm start # production
npm run dev # development (--watch mode)
No test, lint, or format commands are configured.
Token Storage
OAuth tokens saved to data/tokens.json (auto-created). The data/ directory and .env are not in .gitignore — add them before committing.
Tokens auto-refresh when < 5 days from expiry (60-day access tokens, 365-day refresh tokens).
Architecture
server.js— Express app, OAuth flow, MCP HTTP endpoint at/mcpauth.js— LinkedIn OAuth2 (/auth/linkedin,/auth/callback)linkedin.js— LinkedIn API client (posts, profile, reactions)tools.js— Registers 10 MCP tools for AI agent consumptiontoken-store.js— Persists tokens to disk
MCP endpoint (/mcp) requires Authorization: Bearer $MCP_SECRET_KEY header.
LinkedIn API Limitations
Standard developer apps have restricted access:
- Works: posts, likes, comments, profile, post analytics
- Restricted: people search, messaging (needs Partner Program)
- Needs scope: connections (requires
r_network_size)
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.
- 2mo ago First seen · 46 lines · 420 tokens per session scan A c2f03952dcd3
linkedin-mcp AGENTS.md is an instructions file published in the GitHub repository ahmedekramalsada/linkedin-mcp (0 stars, last pushed 19d ago), licensed MIT. It adds 420 tokens to every session, about $0.0017 per session on Opus 5.5. 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.
linkedin-mcp AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| linkedin-mcp AGENTS.mdahmedekramalsada/linkedin-mcp | Instructions file | 0 | 19d ago | MIT | A | 420 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,685 | GitHub Copilot |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| vscode model-prompts.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 2,022 | GitHub Copilot |