Taplio LinkedIn MCP Server

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?"

Use cases

• Turning raw ideas into publish-ready LinkedIn posts, on your own voice and topics.
• Automating draft creation, scheduling, and publishing from any MCP-capable client.
• Building AI-assisted content workflows and reporting on top of your real LinkedIn data.
• Extracting insights and analytics from your posting history without leaving your assistant.

Contents

• Remote Taplio MCP Server
• Prerequisites
• Installation
  • Claude Code
  • Claude Desktop / claude.ai connectors
  • VS Code
  • Cursor
  • Windsurf
  • Generic MCP config
• Authentication
• Toolsets
• Tools
  • Profile
  • Drafts
  • Publishing
  • Posts
  • Analytics
  • Inspiration
• Recommended workflow
• Library and lifecycle model
• Limits and safety
• Troubleshooting
• Contributing
• License

Remote Taplio MCP Server

Taplio is offered as a hosted, remote MCP server. There is nothing to install or run locally: your MCP host connects to the Taplio endpoint over HTTP and authenticates with OAuth.

Because the server is remote and OAuth-based, you never copy a secret into a config file. Access is tied to the Taplio account you approve in the browser, and can be revoked from Taplio at any time.

Prerequisites

1. An active Taplio account with LinkedIn connected.
2. An MCP-capable host (Claude Code, Claude Desktop, VS Code with Copilot, Cursor, Windsurf, or any client that speaks MCP over HTTP).
3. A browser available on first connect, to complete the OAuth authorization.

Installation

Claude Code

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

Then run /mcp inside Claude Code and authorize taplio in the browser when prompted.

Claude Desktop / claude.ai connectors

In Claude Desktop or on claude.ai, open Settings -> Connectors -> Add custom connector, then enter:

• Name: Taplio
• URL: https://mcp.taplio.com

Approve the OAuth screen. The Taplio tools then appear in the tool picker.

VS Code

Add to your user or workspace MCP configuration (.vscode/mcp.json):

{
  "servers": {
    "taplio": {
      "type": "http",
      "url": "https://mcp.taplio.com"
    }
  }
}

Cursor

In ~/.cursor/mcp.json (or Settings -> MCP -> Add):

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

Windsurf

In ~/.codeium/windsurf/mcp_config.json:

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

Generic MCP config

Any client that supports remote MCP servers over HTTP can use:

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

Authentication

The Taplio MCP Server uses OAuth 2.0. On first use your client opens a browser window where you log in to Taplio and approve access. The server then acts on behalf of that single account. No API keys, tokens, or LinkedIn credentials are stored in your client config. Revoke access at any time from your Taplio account settings.

Toolsets

The tools are grouped into functional toolsets. All of them operate on the authenticated user's own account.

Tools

Profile

get_me

Read this first to orient. Returns the user's identity and content preferences so you can tailor output to them and recognize their own posts: display name and LinkedIn @handle (a user may go by several aliases, so check both), plus ai_settings (industry, role, language, target audience, topics, keywords, description) and today's LinkedIn stats (followers, connections, profile views).

No parameters.

Drafts

create_draft

Create a new LinkedIn post draft (unpublished). Publish it later with schedule_draft or publish_draft.

get_draft

Fetch a single LinkedIn post draft by id.

list_drafts

List the user's unpublished LinkedIn post drafts.

update_draft

Update the content of an existing draft. Only drafts can be edited: published or scheduled posts cannot.

delete_draft

Permanently delete a LinkedIn post draft.

Publishing

publish_draft

Publish a draft to LinkedIn immediately. This goes live now and cannot be undone.

schedule_draft

Schedule a draft to be published automatically at a future time.

unschedule

Unschedule a scheduled post, returning it to drafts so you can edit, reschedule, or delete it.