LinkedIn MCP Server

Post to LinkedIn directly from Claude Desktop with support for text and media attachments.

Features

  • Post text updates to LinkedIn
  • Attach images and videos to posts
  • Control post visibility (public/connections)
  • OAuth2 authentication flow
  • Secure token storage

Tools

  • authenticate: Authenticate with LinkedIn
  • create_post: Create and share posts optionally with media attachments
    • state the file path to the relevant media file to attach it to the post

Setup

  1. Create a LinkedIn Developer App:

    Visit https://www.linkedin.com/developers/apps
    Create new app
    Add product permissions: Log In to LinkedIn and Share on LinkedIn 
    Configure OAuth redirect URL: http://localhost:3000/callback
    
  2. Install Install pipx if not already installed

    pip install pipx
    

    Install linkedin-mcp

    pipx install linkedin-mcp
    
  3. Create .env file:

    LINKEDIN_CLIENT_ID=your_client_id
    LINKEDIN_CLIENT_SECRET=your_client_secret
    LINKEDIN_REDIRECT_URI=http://localhost:3000/callback
    

Claude Desktop Configuration

Add the following configuration to claude-desktop.json:

{
  "mcpServers": {
    "linkedin-mcp": {
      "command": "linkedin-mcp",
      "env": {
        "LINKEDIN_CLIENT_ID": "<yours>",
        "LINKEDIN_CLIENT_SECRET": "<yours>",
        "LINKEDIN_REDIRECT_URI": "<yours>"
      }
    }
  }
}

Development

Clone the repository and install the package in editable mode:

git clone https://github.com/FilippTrigub/linkedin-mcp.git
cd linkedin-mcp
uv venv

Run the server from development directory:

{
  "mcpServers": {
    "linkedin-mcp": {
       "command": "uv",
      "args": [
        "--directory",
        "absolute\\path\\to\\linkedin-mcp",
        "run",
        "-m",
        "linkedin_mcp.server"
      ],
      "env": {
        "LINKEDIN_CLIENT_ID": "<yours>",
        "LINKEDIN_CLIENT_SECRET": "<yours>",
        "LINKEDIN_REDIRECT_URI": "<yours>"
      }
    }
  }
}

License

MIT License

Related in Communication - Secure MCP Servers

ServerSummaryActions
MCP反馈收集器一个现代化的 Model Context Protocol (MCP) 服务器,为AI助手提供交互式用户反馈收集功能。View
KimpalbokTV Slack이 저장소는 김팔복TV에서 사용하는 Slack MCP(Model Context Protocol) Server의 예제 코드입니다. Slack...View
DingTalk钉钉的 Model Context Protocol (MCP) 服务器实现,使 Claude 能够与钉钉工作空间进行交互。View
Whissle MCP ServerA Python-based server that provides access to Whissle API endpoints for speech-to-text, diarization,...View
AgentRPCAgentRPC is a universal RPC layer that allows AI agents to call functions across network boundaries...View
Facebook AdsView