NLP CloudをChatGPT、Claude、Geminiに接続

• 01 / 03感情分析の方法
• 02 / 03構造化データの抽出方法
• 03 / 03音声の書き起こし方法

最速日

763ms

最遅日

1278ms

14日間の傾向

安定+3%

NLP Cloud 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_TygJx4Ynpq3UrhtpB9CKQR9p9ecKrou9Sxa7mRBw/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 — NLP Cloud capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "nlp-cloud-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_TygJx4Ynpq3UrhtpB9CKQR9p9ecKrou9Sxa7mRBw/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？ NLP Cloud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

  Data Scientists

  They use it to test and integrate NLP capabilities without setting up their own infrastructure.

• 02

  Content Managers

  They use it to automate the tagging and summarization of large volumes of content.

• 03

  Customer Support Leads

  They use it to categorize and analyze the sentiment of incoming support tickets.

• 01

  How do I connect this MCP to my AI client?

  You subscribe to the MCP through Vinkius and then connect your client, such as Claude or Cursor, in one click. You will need to provide your NLP Cloud API token during setup.

• 02

  What kind of audio files can I process?

  The perform_asr capability allows you to extract text from both audio and video files using speech recognition.

• 03

  Do I need to train my own models for classification?

  No. The classify_text capability uses zero-shot classification, which lets you categorize text into custom labels without any specific training data.

• 04

  Can I use this for translation?

  Yes. The translate_text capability allows you to translate content between dozens of different languages.

• 05

  What is the main benefit of using this MCP over a standard API?

  Vinkius hosts the MCP for you, meaning you don't have to manage the connection or the infrastructure yourself. You just connect and start using the capabilities.

• 06

  Can I summarize a long article using a specific model like BART?

  Yes! Use the summarize_text capability and specify the model (e.g., 'bart-large-cnn') along with your text. You can also enable use_gpu for faster processing.

• 07

  How do I extract names and locations from a document?

  You can use the extract_entities capability. Provide the text and a NER model (like 'en_core_web_lg'), and the agent will return a list of identified entities such as persons, organizations, and locations.

• 08

  Is it possible to transcribe audio files into text?

  Absolutely. Use the perform_asr capability with a model like 'whisper'. You'll need to provide a JSON payload containing the audio URL or data as required by the NLP Cloud API.

• 

  DeepOpinion (No-code NLP & Text AI API) AIコネクタ

  Automate NLP and text analysis with DeepOpinion — list custom models, run single predictions, and process text

  表示
• 

  Fliki (AI Text-to-Video & Speech API) AIコネクタ

  Create high-quality videos and AI voices from text scripts using Fliki — generate content, list voices, and tr

  表示
• 

  Speechmatics AIコネクタ

  Automate speech-to-text and text-to-speech — transcribe audio files, generate natural voices, and manage trans

  表示
• 

  Deterministic Text Summarizer & Extractor AIコネクタ

  Equip your AI with pure Term Frequency (TF) text analysis. Deterministically extract keywords, bigrams, and ge

  表示

おすすめ

• 

  Civo (Cloud-native Kubernetes Cloud Provider API) AIコネクタ

  Manage Civo cloud infrastructure — provision Kubernetes clusters, control compute instances, and monitor usage

  表示
• 

  MonkeyLearn AIコネクタ

  Automate text analysis via MonkeyLearn — classify sentiment, extract keywords, and run custom NLP pipelines di

  表示
• 

  MonkeyLearn AIコネクタ

  Analyze text data with custom machine learning models that classify sentiment, extract keywords, and tag topic

  表示
• 

  MonkeyLearn AIコネクタ

  Analyze text data with custom machine learning models that classify sentiment, extract keywords, and tag topic

  表示