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Use LinkedIn Analytics with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Quantify the strategic placement of @mentions and #hashtags in LinkedIn posts.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 4 capabilities

The complete LinkedIn Analytics capability set.

These are the exact actions your AI can choose when you ask it to work with LinkedIn Analytics.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through LinkedIn Analytics.

  1. 01

    Analyze tag distribution

    Analyze spacing between tags

  2. 02

    Verify signature placement

    Check for signature in tail

  3. 03

    Get first mention distance

    Find distance to first symbol

  4. 04

    Count entities

    Count @ mentions and # hashtags in a post

Observed, not estimated

623ms average. Fast in production.

LinkedIn Analytics is checked daily against the live service.

Daily averagePeak 817ms
Aug 20Today
Fastest day
497ms
Slowest day
817ms
14-day trend
Slowing+9%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of LinkedIn Analytics, so you can see the experience inside your AI.

It does not authenticate your account with LinkedIn Analytics. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

LinkedIn Analytics Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_aglEFPxqAfh7kJcSFchoLtCiDhn6MJcxVPCWNq2e/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — LinkedIn Analytics capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "linkedin-mention-and-tag-distribution-checker-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_aglEFPxqAfh7kJcSFchoLtCiDhn6MJcxVPCWNq2e/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions LinkedIn Analytics owners ask.

  • 01

    What does this capability analyze?

    It identifies the distribution and density of @mentions and #hashtags within your LinkedIn post text.

  • 02

    How is clustering measured?

    The analyze_tag_distribution capability calculates the standard deviation of gaps between symbols to determine if they are clumped or evenly spaced.

  • 03

    Can it detect signature blocks?

    Yes, use verify_signature_placement to see if mentions appear in the final 50 characters of your post.

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