Job Posting Inclusivity AnalyzerをAIに接続

最速日

555ms

最遅日

1114ms

14日間の傾向

遅延傾向+11%

Job Posting Inclusivity Analyzer 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_2VwZFpIX22LrItXM5D1yLgUSVAon6SLMGRNvmJej/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 — Job Posting Inclusivity Analyzer capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "job-posting-inclusivity-analyzer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_2VwZFpIX22LrItXM5D1yLgUSVAon6SLMGRNvmJej/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？ Job Posting Inclusivity Analyzer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

  リクルーター

  求人広告の表現を最適化し、より幅広い層の候補者にリーチしたい専門家。

• 02

  採用マネージャー

  採用基準の偏りを防ぎ、組織のダイバーシティを推進したい責任者。

• 03

  人事担当者

  企業の採用ブランディングにおいて、インクルーシブな姿勢を言語化したい担当者。

• 01

  What can this MCP do for my recruitment process?

  It scans job descriptions for gender bias, unrealistic requirements, and technical jargon to help you write more inclusive ads.

• 02

  Which AI clients can I use with this MCP?

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

• 03

  How does it identify gender bias?

  It uses the analyze_gender_bias capability to evaluate if the language used is masculine or feminine coded.

• 04

  Can it help with technical job descriptions?

  Yes, it uses the analyze_text_accessibility capability to check if technical jargon density makes the text hard to read.

• 05

  Does it find unrealistic job requirements?

  Yes, the analyze_demand_stringency capability specifically measures the intensity of requirements and identifies hyperbole.

• 06

  How does the analyzer detect gender bias?

  The analyze_gender_bias capability compares your text against masculine-coded and feminine-coded word lexicons to calculate a net bias score.

• 07

  Can it identify unrealistic job requirements?

  Yes, the analyze_demand_stringency capability identifies hyperbolic personae like 'ninja' or 'rockstar' and extreme experience thresholds.

• 08

  Does it check for technical jargon?

  Yes, analyze_text_accessibility measures jargon density and detects acronyms that might act as barriers to qualified candidates.

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