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Connect Linkedin Mention And Tag Distribution Che to your AI

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Audit your social media post structure and tag placement.

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

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

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V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through LinkedIn Analytics.

  1. 01

    Analyze tag distribution

    This capability checks the spacing between your hashtags to see how they are clustered.

  2. 02

    Verify signature placement

    This capability confirms if your signature block is located in the tail of the post.

  3. 03

    Get first mention distance

    This capability calculates the amount of text appearing before your first @mention or #hashtag.

  4. 04

    Count entities

    This capability tallies the total number of @mentions and #hashtags within your post.

Real work

What teams actually run

01

Brand Consistency Audits

Check that all team members are using the same number of hashtags in their posts.

02

Post Formatting Checks

Ensure your signature block is always at the bottom of your LinkedIn updates.

03

Engagement Optimization

Analyze if your @mentions are appearing too early or too late in the text.

04

Content Batching

Run multiple drafts through the AI to verify tag distribution patterns.

One connector, every AI

LinkedIn Analytics works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put LinkedIn Analytics to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

665ms average. Fast in production.

LinkedIn Analytics is checked daily against the live service.

Daily averagePeak 848ms
Oct 3Today
Fastest day
572ms
Slowest day
848ms
14-day trend
Improving-5%

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

Guided setup for Claude? Set up LinkedIn Analytics in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work LinkedIn Analytics owners hand off.

Social media professionals and copywriters who need to maintain strict formatting standards for LinkedIn.

  • 01

    Social Media Managers

    They hand off post drafts to the AI to ensure tag density meets brand guidelines.

  • 02

    Copywriters

    They use the AI to verify that signature blocks and mentions are placed correctly.

  • 03

    Digital Marketers

    They use the capability to audit the structural consistency of large batches of social content.

FAQ

Questions LinkedIn Analytics owners ask.

  • 01

    What can this MCP do with my LinkedIn posts?

    It analyzes the placement and quantity of @mentions and #hashtags. It also checks for signature blocks and tag spacing.

  • 02

    Which AI clients can I use with this MCP?

    You can use it with any MCP-compatible client like Claude, Cursor, Windsurf, or VS Code.

  • 03

    Does this MCP post directly to LinkedIn?

    No, this MCP is for analyzing and auditing the structure of your text, not for publishing content.

  • 04

    How do I check if my hashtags are too crowded?

    You can use the analyze_tag_distribution capability to see how the symbols are spaced throughout your post.

  • 05

    Can I use this to check my signature block?

    Yes, the verify_signature_placement capability checks if your signature is located in the tail of the post.

  • 06

    What does this capability analyze?

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

  • 07

    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.

  • 08

    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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