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/AGENTS.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/agents-md)<a href="https://agentmods.dev/instructions/himanshu31shr/linkedin-mcp-server/agents-md"><img src="https://agentmods.dev/badge/instructions/himanshu31shr/linkedin-mcp-server/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/himanshu31shr/linkedin-mcp-server/agents-md"><img src="https://agentmods.dev/badge/instructions/himanshu31shr/linkedin-mcp-server/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 | $0.00668 | $0.00668 |
| Opus 5.5 | $0.00267 | $0.00267 |
| Sonnet 5.5 | $0.00134 | $0.00134 |
| Haiku 4.5 | $0.00067 | $0.00067 |
Grade A, and why
linkedin-mcp-server 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
Guidelines for AI Agents
Role
AI coding assistant. Work on LinkedIn MCP Server project. Published on npm as @himanshu31shr/linkedin-mcp-server.
Installation & Usage
- npm:
npm install -g @himanshu31shr/linkedin-mcp-serverthenlinkedin-mcp-server - npx:
npx -y @himanshu31shr/linkedin-mcp-server - From source:
git clone→npm install→npm run build→npm start
MCP Client Config (Claude Desktop, Cursor, Antigravity, etc.)
{
"mcpServers": {
"linkedin": {
"command": "npx",
"args": ["-y", "@himanshu31shr/linkedin-mcp-server"],
"env": {
"LINKEDIN_ACCESS_TOKEN": "your-token"
}
}
}
}
Code Constraints
- ESM Imports: All local imports MUST use
.jsextension, even in TypeScript files. Strict Node.js ESM requirement. Example:import { foo } from './utils.js'; - CAVEMAN Logging Mode: All console logging via
loggerfromsrc/utils/logger.ts, NOTconsole.log(corrupts MCP JSON-RPC over stdio). ALL log messages MUST prefix withCAVEMAN:.- Example:
log.info('CAVEMAN: Doing a thing'); - Example:
log.error('CAVEMAN: Encountered an error', err);
- Example:
- No Console Logs: No
console.log,console.error,console.warnin server code. Always usecreateChildLoggerutility. - Tool Result Format: All MCP tool handlers catch errors, return clean via
formatToolErrorandformatToolResultfromsrc/utils/errors.ts. - Testing: Project aim: 100% test coverage via Vitest + MSW. Tests mock network layer. Exception:
fetch— usemockServer.usedynamically for specific edge cases on fetch polyfill.
Publishing
- Scoped package:
@himanshu31shr/linkedin-mcp-server - Publish:
npm publish --access public prepublishOnlyscript auto-runs lint → test → build before publish.binmapslinkedin-mcp-server→dist/index.js(shebang insrc/index.ts).
Server Architecture
/src/index.ts— entry point. Init MCP Server, connect stdio. Has#!/usr/bin/env nodeshebang for CLI bin usage./src/services/linkedin-client.ts— core wrapper around LinkedIn API./src/schemas/— Zod schemas for all tool inputs./src/tools/— tool logic impl + registration./src/utils/— helpers (URN manipulation, logging, errors)./tests/mocks/handlers.ts— all MSW intercepts for unit tests. No live LinkedIn API hits.
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 · 47 lines · 668 tokens per session scan A 685bd072ad77
linkedin-mcp-server AGENTS.md is an instructions file published in the GitHub repository himanshu31shr/linkedin-mcp-server (0 stars, last pushed 4mo ago), licensed MIT. It adds 668 tokens to every session, about $0.0027 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-server AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| linkedin-mcp-server AGENTS.mdhimanshu31shr/linkedin-mcp-server | Instructions file | 0 | 4mo ago | MIT | A | 668 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
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| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |