MCP For Claude Marketplace
NLP Cloud

NLP Cloud MCP Connector for Claude

F

High-performance NLP API for text summarization, entity extraction, classification, sentiment analysis, ASR, and translation.

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

Integrate NLP Cloud into your AI workflows to leverage state-of-the-art Natural Language Processing models. This MCP server allows your agent to process text and audio with professional-grade accuracy.

Key Features

  • Text Summarization — Condense long documents into concise summaries using models like BART or GPT.
  • Entity Extraction (NER) — Automatically identify names, dates, locations, and organizations within any text block.
  • Sentiment & Emotion — Analyze the tone of customer feedback or social media posts to detect positive/negative sentiment.
  • Zero-Shot Classification — Categorize text into custom labels without needing specific training data.
  • Speech Recognition (ASR) — Convert audio and video files into accurate text transcripts using Whisper.
  • Translation — Translate content between dozens of languages using high-accuracy NLLB models.

How it works

  1. Subscribe to this server
  2. Enter your NLP Cloud API Token
  3. Start processing advanced NLP tasks from Claude, Cursor, or any MCP client

Who is this for?

  • Data Scientists & Developers — Quickly test and integrate NLP capabilities into applications without managing infrastructure.
  • Content Managers — Automate summarization and tagging of large volumes of articles or reports.
  • Customer Support Leads — Analyze sentiment and categorize incoming tickets at scale.
nlptext-analysismachine-learningspeech-to-textsummarization

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

perform_asr

Provide the required JSON payload as per NLP Cloud docs. Extract text from audio or video files (ASR)

classify_text

Categorize text into predefined labels

extract_entities

Extract named entities (NER) from text

analyze_sentiment

Determine the sentiment of text

summarize_text

Summarize a block of text

translate_text

Provide the required JSON payload as per NLP Cloud docs. Translate text between languages

See how to talk to your AI agent using NLP Cloud.

Summarize this text using the bart-large-cnn model: [Insert Text]

I've summarized the text for you. Here is the condensed version: [Summary Content].

Extract all named entities from this paragraph: [Insert Text]

I found the following entities: 'Apple' (Organization), 'Cupertino' (Location), and 'September 12th' (Date).

What is the sentiment of this customer review: 'The product exceeded my expectations!'

The sentiment analysis shows a 'Positive' result with a high confidence score.

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

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