What is linkedin-mcp-server CLAUDE.md?

Instructions for a LinkedIn connector that uses LinkedIn's OAuth 2.0 sign-in system and REST API. It can read a profile and posts, publish posts and articles, delete posts, and check connection counts.

Use it to connect an agent to LinkedIn, inspect the authenticated account, publish content, remove posts, or check the number of connections.

It provides a documented setup and operating guide for managing LinkedIn activity from a coding agent.

How ihiteshgupta/linkedin-mcp-server configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to ihiteshgupta/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/ihiteshgupta/linkedin-mcp-server/main/CLAUDE.md

Clone the repo

git clone --depth 1 https://github.com/ihiteshgupta/linkedin-mcp-server

Made for: Claude Code.

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README.md

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Per session 1,233 This file is loaded in full into every session.

When invoked 1,233 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.

Model	Per session	Once invoked
Fable 5.1	$0.01233	$0.01233
Opus 5	$0.00616	$0.00616
Sonnet 5	$0.00247	$0.00247
Haiku 4.5	$0.00123	$0.00123

Measured 9d ago against content hash 30a09b9d3b3b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, 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 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.

CLAUDE.md · 128 lines

How it starts

The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LinkedIn MCP Server

MCP server for LinkedIn posting and profile management using LinkedIn's OAuth 2.0 API.

Tech Stack

TypeScript / Node.js 18+
MCP SDK (@modelcontextprotocol/sdk)
LinkedIn REST API
OAuth 2.0 authentication

Available Tools (6 total)

linkedin_get_profile - Get authenticated user's profile
linkedin_create_post - Create text post (max 3000 chars)
linkedin_create_article_post - Share article with commentary
linkedin_get_posts - Get recent posts
linkedin_delete_post - Delete a post
linkedin_get_connections_count - Get connection count

Visibility Options

PUBLIC - Visible to everyone (default)
CONNECTIONS - 1st-degree connections only
LOGGED_IN - LinkedIn members only

Setup

1. Create LinkedIn Developer App

Go to LinkedIn Developer Portal
Create app with company page
Add redirect URL: http://127.0.0.1:3000/callback
Request products: "Sign In with LinkedIn" + "Share on LinkedIn"

2. Install & Configure

npm install && npm run build

mkdir -p ~/.linkedin-mcp

# Add credentials
cat > ~/.linkedin-mcp/credentials.json << 'EOF'
{
  "client_id": "YOUR_CLIENT_ID",
  "client_secret": "YOUR_CLIENT_SECRET"
}
EOF

# Authenticate
npm run auth

# Add to Claude Code
claude mcp add linkedin -- node ~/personal-projects/linkedin-mcp-server/dist/index.js

File Locations

Credentials: ~/.linkedin-mcp/credentials.json
Auth token: ~/.linkedin-mcp/token.json

Development Commands

npm run build        # Compile TypeScript (tsc)
npm run dev          # Build + run server (tsc && node dist/index.js)
npm start            # Run compiled server (node dist/index.js)
npm run auth         # Interactive OAuth flow (opens browser, saves token)

No test framework is configured. Manual testing via Claude Code MCP integration.

Architecture

Server Pattern

Entry point: src/index.ts -- MCP server with stdio transport
API client: src/linkedin.ts -- LinkedInClient class using native fetch against LinkedIn REST API
Auth layer: src/auth.ts -- OAuth2 credential/token management with expiry tracking
Auth CLI: src/auth-cli.ts -- Interactive browser-based OAuth flow (local HTTP callback server, configurable port/path)

Read the full file on GitHub · 128 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.

9d ago First seen · 128 lines · 1,233 tokens per session scan A 30a09b9d3b3b

Subscribe to this mod's changes

linkedin-mcp-server CLAUDE.md is an instructions file published in the GitHub repository ihiteshgupta/linkedin-mcp-server (0 stars, last pushed 5mo ago), licensed MIT. It adds 1,233 tokens to every session, about $0.0062 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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linkedin-mcp-server: Instructions file for Claude Code