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.
M
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.
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.
RepositoryMCP Linkedin tools
Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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 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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