NLP Tools - Sentiment, NER, Toxicity & Language Detection
io.github.fasuizu-br/nlp-toolsToxicity, sentiment, NER, PII detection, and language identification tools
Score: 45/100
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why this score
Tools · 6
Analyze 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…
Analyze text sentiment. Returns positive/negative classification with confidence scores. DistilBERT-based with sub-10ms latency. Multiple domain-specific model variants available. Args: text: Te…
Extract 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: …
Detect 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 l…
Detect 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. t…
Check 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 …
How to use
Add to your Claude Desktop / Cursor / Cline MCP config:
{
"mcpServers": {
"nlp_tools_-_sentiment,_ner,_toxicity_\u0026_language_detection": {
"url": "https://apim-ai-apis.azure-api.net/mcp/nlp/mcp",
"transport": "streamable-http"
}
}
}