MCP Linkedin

@timkulbaev

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

timkulbaev

提交者

Tim Kulbaev

关于 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 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

MCP Linkedin 工具

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当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

常见问题

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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