LinkedIn MCP Server for n8n: AI Agents Post & Engage

Turn your n8n AI agent into a LinkedIn poster & engager—via MCP tools

This LinkedIn MCP Server for n8n exposes LinkedIn posting and engagement capabilities as MCP-compatible tools. With a bearer-authenticated MCP Server Trigger, your AI agent can create text, image, or link/URL-preview posts—and manage and interact with existing LinkedIn content using the LinkedIn REST API.

What this workflow does

• Receives MCP tool calls through the MCP Server Trigger webhook, secured with bearer token authentication.
• Creates LinkedIn posts as:
  • Text updates
  • Image posts using incoming binary data
  • Article/link share with URL preview
• Retrieves LinkedIn data by:
  • Fetching the connected profile
  • Listing the 10 most recent posts by the configured author
  • Fetching a specific post by URN
• Manages published content:
  • Edit a post’s commentary text
  • Delete a post by URN
• Engages with existing posts:
  • Add comments, list comments
  • Add reactions, list reactions, remove your connected account’s reaction
  • Delete a specific comment by ID

Use cases

• An automation engineer building an AI agent that posts updates and follows up with comments on your behalf.
• A SaaS operator running scheduled thought-leadership workflows that create and revise LinkedIn posts using MCP tool calls.
• A content team retrieving the latest posts and generating engagement actions (comments/reactions) programmatically.

Technical details

• OAuth2 LinkedIn credential for LinkedIn REST APIs (posting + reading profile/user info).
• Bearer Auth credential for the MCP Server Trigger webhook and matching MCP client token.
• n8n settings: add linkedin_person_urn as your LinkedIn person ID (retrievable via the “Get my LinkedIn profile” tool).
• Uses nodes/tools including LinkedIn tool, HTTP Request tool, and n8n-nodes-langchainmcp MCP Trigger (with a sticky note for workflow clarity).