MeaningCloudをChatGPT、Claude、Geminiに接続

• 01 / 03感情分析の方法を確認する
• 02 / 03ドキュメントの分類とクラスタリング
• 03 / 03エンティティとトピックを抽出する

最速日

754ms

最遅日

1094ms

14日間の傾向

改善傾向-11%

MeaningCloud 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_ci7wUEXUooIV5O30n0FSRcWOY6xykLKoUj6B44uN/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 — MeaningCloud capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "meaningcloud-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_ci7wUEXUooIV5O30n0FSRcWOY6xykLKoUj6B44uN/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？ MeaningCloud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

  データアナリスト

  大量のテキストデータからインサイトを得るためのプロセスを自動化します。

• 02

  コンテンツマネージャー

  記事やブログ投稿のカテゴリ分けや要約を瞬時に行います。

• 03

  カスタマーサポート責任者

  顧客からの問い合わせに含まれる感情や皮肉を監視し、対応の優先順位を決定します。

• 01

  How do I connect MeaningCloud to my AI client?

  You subscribe to the MCP on Vinkius and enter your MeaningCloud API key. Once connected, it is ready to use in any MCP-compatible client like Claude or Cursor.

• 02

  Can this MCP analyze web pages?

  Yes, the capabilities allow your agent to perform analysis on text, documents, or specific URLs.

• 03

  What kind of sentiment analysis does it do?

  It detects global polarity, subjectivity, and specifically identifies irony in the text.

• 04

  Does it support multiple languages?

  Yes, the language detection capability supports over 160 different languages.

• 05

  What taxonomies can it use for categorization?

  The agent can classify text using industry standard taxonomies such as IAB or Business models.

• 06

  Can the AI detect if a customer is being ironic in their feedback?

  Yes. The analyze_sentiment capability identifies not only the polarity (positive/negative) but also the presence of irony and the degree of subjectivity in the text.

• 07

  How do I extract specific entities like names or locations from a news article?

  Use the extract_topics capability. You can provide a URL or raw text, and it will return a structured list of entities (people, places, organizations) and concepts found.

• 08

  Is it possible to summarize a long document into a specific number of sentences?

  Absolutely. The summarize_text capability allows you to specify the sentences parameter to control the length of the generated summary.

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