Linkedin Mention And Tag DistributioをAIに接続

最速日

572ms

最遅日

848ms

14日間の傾向

改善傾向-5%

LinkedIn Analytics Connector

準備完了です。MCPクライアントを選択し、セットアップ手順に従ってください。

コネクタリンクhttps://edge.vinkius.com/vk_preview_aglEFPxqAfh7kJcSFchoLtCiDhn6MJcxVPCWNq2e/mcpコピー

Claude Desktop

以下の手順で数秒で接続できます。

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.

設定 · claude_desktop_config.jsonコピー

{
  "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

各クライアントの手順ガイドはこちらです。 接続方法

Claude向けのガイド付きセットアップ？ LinkedIn AnalyticsをClaudeや他のAIに設定する

このConnectorが対応するすべてのAIクライアントを見る ↑

• 01

  ソーシャルメディアマネージャー

  投稿の構造を分析し、エンゲージメントを最大化するためのデータに基づいた改善を行います。

• 02

  コピーライター

  メンションやタグの配置が読者に与える影響を数値化し、より効果的な文章構成を検討できます。

• 03

  デジタルマーケター

  投稿内の記号の分布を把握することで、戦略的なハッシュタグ利用とブランド露出の最適化を図ります。

• 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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