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Servers/Marketing/Taplio
MarketingOfficial
T

Taplio

Run your Linkedin account from claude or chatgpt

3 starsUpdated Jul 23, 2026
View on GitHub

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Overview

The Taplio LinkedIn MCP Server is a Model Context Protocol (MCP) server that connects AI tools directly to your Taplio account and, through it, to your LinkedIn presence. It gives AI agents, assistants, and chat clients the ability to draft, schedule, and publish LinkedIn posts, browse what you have already posted, research inspiration from other creators, and read your analytics, all through natural language. Point your MCP host at the Taplio server and you can ask things like: - "Draft a LinkedIn post about our new MCP launch and schedule it for Tuesday 9am." - "Show me my last 10 posts and which one got the most impressions." - "Find 20 high-performing posts about linkedin ghostwriting from creators under 50k followers." - "How are my followers and engagement trending over the last 30 days?"

Installation

claude mcp add --transport http taplio https://mcp.taplio.com

Configuration

{
  "mcpServers": {
    "taplio": {
      "url": "https://mcp.taplio.com"
    }
  }

Capabilities

  • Draft a LinkedIn post

    Create a new unpublished draft with `create_draft`, then refine it using `update_draft`.

  • Schedule or publish posts

    Use `schedule_draft` to set a future publish time or `publish_draft` to go live immediately.

  • Review your post history

    Browse scheduled, sending, and sent posts with `list_posts` and inspect a single post via `get_post`.

  • Check your LinkedIn analytics

    Get account-level metrics with `get_analytics_overview` and per-post performance via `get_post_analytics`.

  • Find inspiration from other creators

    Search high-performing LinkedIn posts by topic, engagement, or follower count using `search_inspiration`.

  • Load your profile and preferences

    Call `get_me` to retrieve your LinkedIn handle, content settings, and current stats.

Tags

  • anthropic
  • llm
  • ai-model
  • marketing-automation
  • marketing

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