NLP Tools - Sentiment, NER, Toxicity & Language Detection

Connect it to your AI

Claude Code

claude mcp add --transport http nlp-tools https://apim-ai-apis.azure-api.net/mcp/nlp/mcp

Claude, ChatGPT, Cursor and other apps

Add it as a custom connector with this URL (Streamable HTTP):

https://apim-ai-apis.azure-api.net/mcp/nlp/mcp

Cursor, VS Code and other apps (mcp.json)

{
  "mcpServers": {
    "nlp-tools": {
      "url": "https://apim-ai-apis.azure-api.net/mcp/nlp/mcp"
    }
  }
}

Tools it offers

6 tools, as the server itself reported during our check on Oct 31, 2026.

• analyze_toxicityAnalyze text for toxic content. Returns scores for 6 categories: toxic, severe_toxic, obscene, threat, insult, identity_hate. Each score is 0.0-1.0. BERT-based classifier with sub-15ms latency on GPU. Args: text: Text to
• analyze_sentimentAnalyze text sentiment. Returns positive/negative classification with confidence scores. DistilBERT-based with sub-10ms latency. Multiple domain-specific model variants available. Args: text: Text to analyze for sentimen
• extract_entitiesExtract named entities (NER) from text. Identifies persons, organizations, locations, and miscellaneous entities with span offsets and confidence scores. BERT-NER based with sub-50ms latency. Args: text: Text to extract
• detect_piiDetect personally identifiable information (PII) in text. Finds emails, phone numbers, SSNs, credit cards, IP addresses, and person names. Optionally returns redacted text with PII replaced by type labels (e.g. [EMAIL],
• detect_languageDetect the language of text. Supports 176 languages using fastText. Sub-1ms inference latency. Returns ISO 639-1 codes with confidence scores. Args: text: Text to identify the language of. top_k: Number of top language p
• check_nlp_serviceCheck health status of NLP API services and loaded models. Returns: dict with keys: - status (str): 'healthy' or error state - models (dict): Loaded model status per capability - version (str): API version

Questions