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Linkedin Posts

MCP server · by johnisanerd

Developer Tools Streamable HTTP v1.0.0

Scrape and analyze public LinkedIn posts as structured JSON via the Apify LinkedIn Posts API.

View source ↗ Website ↗ More servers

Install

Run one of the commands below, then add the client config underneath.

Streamable HTTPhttps://mcp.apify.com/?tools=johnvc/linkedin-posts-api

Client configuration

Paste into Claude Desktop, Cursor (mcp.json), VS Code or any MCP client, then restart the client.

mcpServers{
  "mcpServers": {
    "linkedin-posts": {
      "url": "https://mcp.apify.com/?tools=johnvc/linkedin-posts-api"
    }
  }
}

About this server

Linkedin Posts is listed in the Developer Tools category of the MCPNav directory. It is distributed as Streamable HTTP and can be loaded by any client that speaks the Model Context Protocol.

Typical uses include giving your assistant scoped access to the corresponding service so it can answer questions and take actions with real data instead of guessing. Always review what a server can access before you enable it — see our MCP security guide.

Frequently asked questions

What is the Linkedin Posts MCP server?

Linkedin Posts is an MCP server by johnisanerd. Scrape and analyze public LinkedIn posts as structured JSON via the Apify LinkedIn Posts API.

How do I install Linkedin Posts?

Install it with: https://mcp.apify.com/?tools=johnvc/linkedin-posts-api. Then add the JSON config to your client's MCP settings and restart the client.

Is Linkedin Posts free to use?

The MCP server itself is free to install. The source is public on https://github.com/johnisanerd/Apify-LinkedIn-Posts-API. Any third-party API it calls (such as a search or maps API) may require its own key and billing.

Which clients support Linkedin Posts?

Any MCP-compatible client can use it, including Claude Desktop, Cursor, VS Code, Windsurf and custom agents.