TL;DR
Linkedin Posts is a Model Context Protocol (MCP) server. Scrape and analyze public LinkedIn posts as structured JSON via the Apify LinkedIn Posts API. Install with: Remote MCP: https://mcp.apify.com/?tools=johnvc/linkedin-posts-api. Source: https://github.com/johnisanerd/Apify-LinkedIn-Posts-API. Compatible with MCP clients such as Claude Desktop, Cursor, Cline and Windsurf.
Linkedin Posts
Scrape and analyze public LinkedIn posts as structured JSON via the Apify LinkedIn Posts API.
Install Command
Remote MCP: https://mcp.apify.com/?tools=johnvc/linkedin-posts-apiFrequently Asked Questions
Linkedin Posts is a Model Context Protocol server that Scrape and analyze public LinkedIn posts as structured JSON via the Apify LinkedIn Posts API.
You can install it by running the install command: `Remote MCP: https://mcp.apify.com/?tools=johnvc/linkedin-posts-api`. It then becomes available to any MCP-compatible client such as Claude, Cursor, Cline, Windsurf.
The Linkedin Posts MCP Server is compatible with any client that speaks the Model Context Protocol — including Claude, Cursor, Cline, Windsurf.
Check the project license on its repository before use.
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- Last Updated
- Aug 12, 2026
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Client Compatibility
Speaks the Model Context Protocol — works with any compatible client.