MCP Linkedin

@timkulbaev

Basic information

About MCP Linkedin

MCP server for LinkedIn publishing from AI coding assistants. Dry run by default, SKILL.md for safe workflows, 28 unit tests. MIT licensed.

#linkedin #social-media #publishing #mcp #claude-code

MCP Linkedin config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

MCP Linkedin tools

Tool list not available yet

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Overview

What is Mcp Linkedin?

Mcp Linkedin is an MCP server that wraps the Unipile API to let AI assistants publish, comment, and react on LinkedIn. It is built for AI assistants like Claude Code and Claude Desktop, or any MCP-compatible client.

How to use Mcp Linkedin?

Install Node.js 18+, clone the repository, run npm install, then configure your MCP client (e.g., Claude Code or Claude Desktop) with the server command and environment variables UNIPILE_API_KEY and UNIPILE_DSN. The server exposes three tools: linkedin_publish, linkedin_comment, and linkedin_react. All publishing actions default to preview mode (dry_run: true) and require explicit confirmation to go live.

Key features of Mcp Linkedin

3 tools: publish, comment, react
Dry run by default – preview before publishing
Auto-likes posts immediately after publishing
Supports media attachments (local files or URLs – images and video)
Company @mentions auto-resolved via Unipile

Use cases of Mcp Linkedin

An AI assistant drafts and previews LinkedIn posts before publishing
Automated commenting on existing LinkedIn posts
Reacting to posts with various reaction types (like, celebrate, love, etc.)
Scheduled or batched content publishing via MCP clients

Frequently asked questions

What is the default behavior for publishing?

All publishing actions default to preview mode (`dry_run: true`). Nothing goes live without explicitly setting `dry_run: false` after reviewing the preview.

What are the prerequisites?

You need **Node.js 18+** and a **Unipile account**. Unipile handles LinkedIn OAuth – you do not need to manage LinkedIn tokens directly.

How do I configure the server?

Set `UNIPILE_API_KEY` and `UNIPILE_DSN` in the MCP client configuration file (e.g., `~/.claude/mcp.json` for Claude Code). No `.env` file is used.

Can I attach media to posts?

Yes. You can pass local file paths or URLs for `jpg`, `png`, `gif`, `webp`, and `mp4` files. Files are validated and temporarily downloaded.

What transports does the server use?

Mcp Linkedin uses MCP stdio transport (JSON-RPC over standard input/output). No other transports (HTTP, WebSocket) are mentioned.

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