MCP For Claude Marketplace
MeaningCloud

MeaningCloud MCP Connector for Claude

A+

Advanced text analytics for sentiment analysis, topic extraction, language detection, and automatic summarization.

6 tools Official Updated Jun 28, 2026 Official Vinkius Partner
More Details Connect to Claude

Unlock the power of Natural Language Processing with MeaningCloud. This server allows your AI agent to perform deep semantic analysis on any text, document, or URL.

What you can do

  • Sentiment Analysis — Detect global polarity, irony, and subjectivity in user feedback or articles.
  • Topic Extraction — Identify people, organizations, places, and abstract concepts automatically.
  • Language Detection — Recognize the language of a text from over 160 supported options.
  • Text Categorization — Classify content into industry-standard taxonomies like IAB or Business models.
  • Automatic Summarization — Extract the most relevant sentences to create concise summaries of long documents.
  • Document Clustering — Group collections of texts based on their semantic similarity.

How it works

  1. Subscribe to this server
  2. Enter your MeaningCloud License Key (API Key)
  3. Start analyzing content from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Data Analysts — Automate the processing of large volumes of unstructured text for insights.
  • Content Managers — Categorize and summarize articles or blog posts instantly.
  • Customer Support Leads — Monitor sentiment and irony in customer tickets to prioritize responses.
nlpsentiment-analysistext-miningsummarizationtopic-extraction

6 tools expose this connector's capabilities to your AI agent.

categorize_text

g., IAB_2.0_en, Business_en). Assign categories to a text based on a taxonomy

cluster_text

Group a collection of documents into clusters

detect_language

Identify the language of a text

analyze_sentiment

Analyze the sentiment of a text

summarize_text

Extract the most relevant sentences to create a summary

extract_topics

Extract topics, entities, and concepts from text

See how to talk to your AI agent using MeaningCloud.

Analyze the sentiment and check for irony in this text: 'Oh great, another update that breaks everything.'

I've analyzed the text using MeaningCloud. The sentiment is 'Negative' with a high confidence of 'Irony' detected. The subjectivity is high, indicating a personal opinion.

Extract the main topics and organizations mentioned in this article: https://example.com/tech-news

I've processed the URL. I found several entities: 'Apple' (Organization), 'Cupertino' (Location), and 'M3 Chip' (Concept). Would you like more details on any of these?

Summarize the following text into exactly 3 sentences: [Long Text Content]

Here is a 3-sentence summary of the document: 1) The company announced record growth. 2) New markets in Asia contributed to 40% of revenue. 3) Future plans include a focus on sustainable energy.

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

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