# Fasuizu Br Nlp Tools MCP server

Source: https://glimind.com/server/mcp-registry%2Fio.github.fasuizu-br%2Fnlp-tools
Registry id: `mcp-registry/io.github.fasuizu-br/nlp-tools`
Status: live (checked 2026-10-27T01:41:44.885Z)

## Measurements (30 days)

- Uptime: 86.26%
- Checks: 5664
- Outages (90 days): 1997

## Install

```json
{
  "mcpServers": {
    "fasuizu-br-nlp-tools-mcp-server": {
      "type": "http",
      "url": "https://apim-ai-apis.azure-api.net/mcp/nlp/mcp"
    }
  }
}
```

Claude Code:

```sh
claude mcp add --transport http fasuizu-br-nlp-tools-mcp-server https://apim-ai-apis.azure-api.net/mcp/nlp/mcp
```

## Tools (6)

- `analyze_sentiment`: Analyze text sentiment. Returns positive/negative classification with confidence scores. DistilBERT-based with sub-10ms latency. Multiple domain-specific model 
- `analyze_toxicity`: 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 
- `check_nlp_service`: Check health status of NLP API services and loaded models. Returns: dict with keys: - status (str): 'healthy' or error state - models (dict): Loaded model statu
- `detect_language`: 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 
- `detect_pii`: Detect personally identifiable information (PII) in text. Finds emails, phone numbers, SSNs, credit cards, IP addresses, and person names. Optionally returns re
- `extract_entities`: Extract named entities (NER) from text. Identifies persons, organizations, locations, and miscellaneous entities with span offsets and confidence scores. BERT-N

Measured by Glimind (https://glimind.com): MCP handshake + tool list only, no tool is ever called. CC BY 4.0.