Borrowing it
Nothing to install: this file belongs to himanshu31shr/linkedin-mcp-server. 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/himanshu31shr/linkedin-mcp-server/main/CLAUDE.mdgit clone --depth 1 https://github.com/himanshu31shr/linkedin-mcp-serverWrote 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/himanshu31shr/linkedin-mcp-server/claude-md)<a href="https://agentmods.dev/instructions/himanshu31shr/linkedin-mcp-server/claude-md"><img src="https://agentmods.dev/badge/instructions/himanshu31shr/linkedin-mcp-server/claude-md.svg" alt="Measured on agentmods" 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 | $0.00632 | $0.00632 |
| Opus 5 | $0.00316 | $0.00316 |
| Sonnet 5 | $0.00126 | $0.00126 |
| Haiku 4.5 | $0.00063 | $0.00063 |
Grade A, and why
linkedin-mcp-server CLAUDE.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 7d 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
LinkedIn MCP Server Instructions
Overview
TypeScript MCP server for LinkedIn API. Published as @himanshu31shr/linkedin-mcp-server on npm. Exposes standard MCP tools so AI agents can read/write user profile + orgs.
Installation
- npm:
npm install -g @himanshu31shr/linkedin-mcp-server - npx:
npx -y @himanshu31shr/linkedin-mcp-server - From source:
git clone→npm install→npm run build
MCP Client Config (Claude Desktop / Cursor / etc.)
{
"mcpServers": {
"linkedin": {
"command": "npx",
"args": ["-y", "@himanshu31shr/linkedin-mcp-server"],
"env": {
"LINKEDIN_ACCESS_TOKEN": "your-token"
}
}
}
}
Core Rules
- ESM Imports: All local imports use
.jsextension (e.g.import { foo } from './foo.js'). - CAVEMAN Logging: All logging via
createChildLoggerfromsrc/utils/logger.js. Every log message MUST begin withCAVEMAN:. Noconsole.log. - No Direct Standard Out: Never
console.log— corrupts MCP JSON-RPC over stdio. - Test Coverage: 100% coverage. Mock LinkedIn endpoints with MSW in
tests/mocks/handlers.ts.
Start Commands
- Build:
npm run build - Test:
npm test - Lint:
npm run lint - Run (dev):
npm run dev - Run (prod):
npm startorlinkedin-mcp-server(if installed globally)
Project Structure
src/index.ts: Main MCP server entry (has#!/usr/bin/env nodeshebang for bin usage).src/services/linkedin-client.ts: Wrap LinkedIn API (/v2+/rest).src/tools/: Tool impl by domain (profile, posts, media, org, social-actions, org-analytics).src/schemas/: Zod schemas for tool inputs.
Publishing
- Package is scoped:
@himanshu31shr/linkedin-mcp-server. - Publish with:
npm publish --access public. - The
prepublishOnlyscript runs lint, tests, and build automatically. binfield mapslinkedin-mcp-server→dist/index.jsfor CLI usage.
Development Workflow
Add new tool:
- Schema in
src/schemas. - Handler + registration in
src/tools. - Mock LinkedIn endpoint with MSW in
tests/mocks/handlers.ts. - Unit tests in
tests/unit/tools/. Cover all error states + edge cases.
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.
- 7d ago First seen · 56 lines · 632 tokens per session scan A 27415274e878
linkedin-mcp-server CLAUDE.md is an instructions file published in the GitHub repository himanshu31shr/linkedin-mcp-server (0 stars, last pushed 2mo ago), licensed MIT. It adds 632 tokens to every session, about $0.0032 per session on Opus 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.
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