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Linkedin Posts Hunter Mcp Server

Created By
kevin-weitgenant2 months ago
LinkedIn Posts Hunter MCP is a Model Context Protocol (MCP) server that provides tools for automating LinkedIn job post search and management through your AI assistant (Claude Desktop, Cursor, or other MCP-compatible clients). Why LinkedIn Posts? Job opportunities often appear in LinkedIn posts first, before they're posted on traditional job boards. By monitoring LinkedIn posts, you can discover opportunities earlier and get a competitive advantage in your job search.
Overview

what is LinkedIn Posts Hunter MCP?

LinkedIn Posts Hunter MCP is a Model Context Protocol (MCP) server designed to automate the search and management of job posts on LinkedIn through AI assistants like Claude Desktop and Cursor.

how to use LinkedIn Posts Hunter MCP?

To use the server, set it up with an MCP-compatible client and configure it to monitor LinkedIn posts for job opportunities. The server will automate the retrieval and management of these posts.

key features of LinkedIn Posts Hunter MCP?

  • Automates LinkedIn job post searches.
  • Integrates with AI assistants for enhanced functionality.
  • Provides early access to job opportunities before they appear on traditional job boards.

use cases of LinkedIn Posts Hunter MCP?

  1. Job seekers can monitor LinkedIn for new job postings.
  2. Recruiters can manage job posts more efficiently.
  3. Companies can track job market trends through LinkedIn posts.

FAQ from LinkedIn Posts Hunter MCP?

  • Can I use this server with any AI assistant?

Yes! It is compatible with any MCP-compatible client like Claude Desktop or Cursor.

  • Is there a cost associated with using LinkedIn Posts Hunter MCP?

The project is open-source and free to use.

  • How does it help in job searching?

By monitoring LinkedIn posts, users can discover job opportunities earlier than on traditional job boards.

Server Config

{
  "mcpServers": {
    "linkedin-posts-hunter-mcp": {
      "command": "linkedin-posts-hunter-mcp"
    }
  }
}
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