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linkedin-mcp-server: Instructions file for Claude Code

CLAUDE.md

linkedin-mcp-server CLAUDE.md is an instructions file for Claude Code from gacabartosz/linkedin-mcp-server. It costs 1,872 tokens per session, scanned A, original, MIT.

Project instructions for developing a LinkedIn MCP server, a service that lets AI agents work with LinkedIn features. They cover building the server, its API modules, scheduling, content tools, media generation, and verification.

In plain words
What is it for?
Use them when adding or changing LinkedIn tools, API connections, scheduled posts, content templates, banners, case-study PDFs, or media features. They also guide building, running, and checking the server.
Why use it?
They give an agent the project structure and rules needed to change the server without overlooking related components. They also specify how to confirm that its tools are available after a build.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md.

This is gacabartosz/linkedin-mcp-server's own configuration. It tells Claude Code how to work on linkedin-mcp-server itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything linkedin-mcp-server configures →

not rated 6repo changed 1mo ago A scan 1,872 tokens original MIT
View source ↗ gacabartosz/linkedin-mcp-server
Reuse

Borrowing it

Nothing to install: this file belongs to gacabartosz/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.

Copy the file
curl -O https://raw.githubusercontent.com/gacabartosz/linkedin-mcp-server/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/gacabartosz/linkedin-mcp-server

Made for: Claude Code.

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Per session 1,872 This file is loaded in full into every session.
When invoked 1,872 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.01872 $0.01872
Opus 5.5 $0.00749 $0.00749
Sonnet 5.5 $0.00374 $0.00374
Haiku 4.5 $0.00187 $0.00187

Measured 1mo ago against content hash a777fff79ae8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 1mo 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.

CLAUDE.md · 143 lines

How it starts

The opening of the file, as written. The whole thing — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md — LinkedIn MCP Server

Build & Run

npm run build          # TypeScript compile + shebang injection
npm run dev            # Dev mode with tsx
npm start              # Run compiled dist/index.js

Verify tools after changes:

echo '{"jsonrpc":"2.0","id":1,"method":"tools/list","params":{}}' | node dist/index.js

Architecture

  • src/index.ts — createMcpServer() with all tool handlers (single switch statement); runs stdio when executed directly
  • src/http/ — Streamable HTTP transport + OAuth 2.1, mounted by dashboard.mjs at http://localhost:6767/mcp (merged from the former linkedin-sales-mcp repo). Loopback clients need no token; remote ones go through OAuth, which stays disabled until MCP_OAUTH_PIN is set. Rebuild (npm run build) and restart the dashboard after changing tools
  • src/api/ — LinkedIn REST API modules (client, auth, posts, comments, media, profile, reactions)
  • src/scheduler/ — SQLite-based post scheduler (store, daemon, publisher)
  • src/content/ — Content templates (12 built-in + custom), brand voice config, and guidelines loader
  • src/gemini/ — Google Gemini Imagen 4 image generation
  • src/banner/ — Banner generator (6 templates, 8 gradients, carousel PDF, screenshot capture)
  • src/casestudy/ — Case study PDF generator (branded PDFs with screenshots, metrics, Gemini covers)
  • src/utils/ — Config, logger, errors (toolResult/toolError helpers)
  • guidelines/ — LinkedIn algorithm strategy data (linkedin-strategy.json)
  • scripts/generate-banner.mjs — Standalone banner generator CLI
  • auto-engage.mjs — Intelligent auto-reply daemon (Gemini via MCP, socjotechnika, persona from second-mind)
  • auto-publish.mjs — Auto-publish daemon (60s interval, comment queue, banner generation)

Code Conventions

  • ESM only — "type": "module" in package.json, use .js extensions in imports
  • Strict TypeScript — strict: true, target ES2022, NodeNext module resolution
  • Zod for input validation — schemas defined at top of index.ts, parsed with .parse(args) in handlers
  • Tool responses — always return toolResult(data) for success, toolError(message) for errors
  • Logging — use log("info"|"warn"|"error", message, data?) from src/utils/logger.ts
  • NEVER write to stdout — all logging goes to stderr (stdout is reserved for MCP stdio transport)
  • Native fetch() — no axios, no node-fetch; use Node 18+ built-in fetch
  • Minimal dependencies — @modelcontextprotocol/sdk, better-sqlite3, zod, @anthropic-ai/sdk, pdf-lib

Read the full file on GitHub · 143 lines

Changes

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.

  1. 1mo ago Changed · +1 lines · +96 tokens per session a777fff79ae8
  2. 2mo ago First seen · 142 lines · 1,776 tokens per session scan A 874c4ab8bb6b

Subscribe to this mod's changes

linkedin-mcp-server CLAUDE.md is an instructions file published in the GitHub repository gacabartosz/linkedin-mcp-server (6 stars, last pushed 1mo ago), licensed MIT. It adds 1,872 tokens to every session, about $0.0075 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.

Backend and APIs
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