Mcp Linkedin Post Engager Capture

Overview

Mcp Linkedin Post Engager Capture is a Model Context Protocol (MCP) server: Track LinkedIn posts from profiles and company pages, with the commenters LinkedIn shows publicly. In practice that means any MCP-compatible AI assistant can call Mcp Linkedin Post Engager Capture's tools directly — the model decides when to use them in a conversation or agent run.

It runs locally: the npm package @mambalabsdev/mcp-linkedin-post-engager-capture speaks MCP over stdio on your machine. Configuration happens through environment variables — you'll need APIFY_TOKEN. The current release is v1.0.1, published under the MIT license, with source at mambalabsdev/mcp-linkedin-post-engager-capture on GitHub.

Mcp Linkedin Post Engager Capture is listed under File System on mcp.site and works with any MCP client — Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, Zed and the rest of the ecosystem — using the install snippets below. If you maintain Mcp Linkedin Post Engager Capture for mambabuilt.com, claim this listing to verify ownership, earn the Verified badge, and keep the details current.

Installation

// claude_desktop_config.json
{
  "mcpServers": {
    "mcp_linkedin_post_engager_capture": {
      "command": "npx",
      "args": [
        "-y",
        "@mambalabsdev/mcp-linkedin-post-engager-capture"
      ],
      "env": {
        "APIFY_TOKEN": "<apify-token>"
      }
    }
  }
}

Requires APIFY_TOKEN