NLP Tools - Sentiment, NER, Toxicity & Language Detection

Name: NLP Tools - Sentiment, NER, Toxicity & Language Detection
Author: fasuizu-br

MCP serverMCP

Toxicity, sentiment, NER, PII detection, and language identification tools

Listed on its own since 2026-09-25. Until then it was part of image-tools-background-removal-upscaling-face-re, where its earlier checks remain.

by fasuizu-brrepository ↗homepage ↗v1.1.0

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Evidence

Everything here was measured by our prober or read from a registry. Nothing is self-reported.

30-day availability49/52 checks ok

when	check	result	http	latency	detail
4 h ago	mcp initialize	failed	—	—	timeout
10 h ago	mcp initialize	ok	200	105 ms	server brainiall-nlp 2.14.5 · protocol 2025-06-18 · 6 tools
17 h ago	mcp initialize	ok	200	113 ms	server brainiall-nlp 2.14.5 · protocol 2025-06-18 · 6 tools
24 h ago	mcp initialize	ok	200	144 ms	server brainiall-nlp 2.14.5 · protocol 2025-06-18 · 6 tools
31 h ago	mcp initialize	ok	200	126 ms	server brainiall-nlp 2.14.5 · protocol 2025-06-18 · 6 tools
2 d ago	mcp initialize	ok	200	127 ms	server brainiall-nlp 2.14.5 · protocol 2025-06-18 · 6 tools
2 d ago	mcp initialize	ok	200	126 ms	server brainiall-nlp 2.14.5 · protocol 2025-06-18 · 6 tools
2 d ago	mcp initialize	ok	200	123 ms	server brainiall-nlp 2.14.5 · protocol 2025-06-18 · 6 tools
2 d ago	mcp initialize	ok	200	109 ms	server brainiall-nlp 2.14.5 · protocol 2025-06-18 · 6 tools
3 d ago	mcp initialize	ok	200	129 ms	server brainiall-nlp 2.14.5 · protocol 2025-06-18 · 6 tools

Tools observed via MCP handshake

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
analyze_sentiment — Analyze text sentiment. Returns positive/negative classification with confidence scores. DistilBERT-based with sub-10ms latency. Multiple domain-specific model
extract_entities — Extract named entities (NER) from text. Identifies persons, organizations, locations, and miscellaneous entities with span offsets and confidence scores. BERT-
detect_pii — Detect personally identifiable information (PII) in text. Finds emails, phone numbers, SSNs, credit cards, IP addresses, and person names. Optionally returns r
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:
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

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kind Official MCP Registry

name Official MCP Registry

repoUrl Official MCP Registry

summary Official MCP Registry

version Official MCP Registry

description Official MCP Registry

homepageUrl Official MCP Registry

publisherName Official MCP Registry

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Official MCP Registryio.github.fasuizu-br/nlp-tools

first seen 1 mo ago · fetched 3 d agoopen ↗

Field history (7 recent events)

15 d ago · declared · summary → "Toxicity, sentiment, NER, PII detection, and language identification tools"
15 d ago · declared · description → "Toxicity, sentiment, NER, PII detection, and language identification tools"
15 d ago · declared · publisherName → "fasuizu-br"
15 d ago · declared · homepageUrl → "https://brainiall.com"
15 d ago · declared · repoUrl → "https://github.com/fasuizu-br/speech-ai-examples"
15 d ago · declared · version → "1.1.0"
15 d ago · declared · protocols → ["mcp"]

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