Connect NLP Tools - Toxicity, Sentiment, NER, PII, Language Detection and your agent gets 6 tools, among them analyze_sentiment, analyze_toxicity, check_nlp_service. It answers at https://nlp-mcp.thankfulfield-a7857897.eastus.azurecontainerapps.io/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 10 of 10 times since 5 September 2026; the last check, on 18 October 2026, succeeded.
Toxicity, sentiment, NER, PII detection, and language identification tools
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
analyze_sentiment | Analyze 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 sentiment (positive/negative Inputs: text, 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 classifier with sub-15ms latency on GPU. Args: text: Text to analyze for toxicit Inputs: 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): Loaded model status per capability - version (str): API version |
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 to identify the language of. top_k: Number of top language predictions to return Inputs: text, top_k |
detect_pii | 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 labels (e.g. [EMAIL], [PHONE]). BERT-NER + Inputs: text, redact |
extract_entities | 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: text: Text to extract named entities from. Inputs: text |
Every block below points at https://nlp-mcp.thankfulfield-a7857897.eastus.azurecontainerapps.io/mcp. Pick your client and copy.
claude mcp add --transport http nlp-tools-toxicity-sentiment-ner https://nlp-mcp.thankfulfield-a7857897.eastus.azurecontainerapps.io/mcp
{
"mcpServers": {
"nlp-tools-toxicity-sentiment-ner": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://nlp-mcp.thankfulfield-a7857897.eastus.azurecontainerapps.io/mcp"]
}
}
}{
"mcpServers": {
"nlp-tools-toxicity-sentiment-ner": {
"url": "https://nlp-mcp.thankfulfield-a7857897.eastus.azurecontainerapps.io/mcp"
}
}
}{
"servers": {
"nlp-tools-toxicity-sentiment-ner": {
"type": "http",
"url": "https://nlp-mcp.thankfulfield-a7857897.eastus.azurecontainerapps.io/mcp"
}
}
}{
"context_servers": {
"nlp-tools-toxicity-sentiment-ner": {
"url": "https://nlp-mcp.thankfulfield-a7857897.eastus.azurecontainerapps.io/mcp"
}
}
}{
"mcpServers": {
"nlp-tools-toxicity-sentiment-ner": {
"serverUrl": "https://nlp-mcp.thankfulfield-a7857897.eastus.azurecontainerapps.io/mcp"
}
}
}{
"mcpServers": {
"nlp-tools-toxicity-sentiment-ner": {
"url": "https://nlp-mcp.thankfulfield-a7857897.eastus.azurecontainerapps.io/mcp"
}
}
}name: NLP Tools - Toxicity, Sentiment, NER, PII, Language Detection
version: 0.0.1
schema: v1
mcpServers:
- name: NLP Tools - Toxicity, Sentiment, NER, PII, Language Detection
type: streamable-http
url: https://nlp-mcp.thankfulfield-a7857897.eastus.azurecontainerapps.io/mcp{
"mcpServers": {
"nlp-tools-toxicity-sentiment-ner": {
"httpUrl": "https://nlp-mcp.thankfulfield-a7857897.eastus.azurecontainerapps.io/mcp"
}
}
}{
"mcpServers": {
"nlp-tools-toxicity-sentiment-ner": {
"type": "http",
"url": "https://nlp-mcp.thankfulfield-a7857897.eastus.azurecontainerapps.io/mcp"
}
}
}{
"mcpServers": {
"nlp-tools-toxicity-sentiment-ner": {
"url": "https://nlp-mcp.thankfulfield-a7857897.eastus.azurecontainerapps.io/mcp"
}
}
}goose://extension?url=https%3A%2F%2Fnlp-mcp.thankfulfield-a7857897.eastus.azurecontainerapps.io%2Fmcp&type=streamable_http&id=nlp-tools-toxicity-sentiment-ner&name=NLP%20Tools%20-%20Toxicity%2C%20Sentiment%2C%20NER%2C%20PII%2C%20Language%20Detection
It answered our last check on 18 October 2026 in 318 ms. Over 10 checks since 5 September 2026 it answered 10. Status here comes from Neuronto's own probes, not from the publisher.
6, as returned by the server's own tools/list on 31 August 2026: analyze_sentiment, analyze_toxicity, check_nlp_service, detect_language, detect_pii, extract_entities.
It answered our last check on 18 October 2026 in 318 ms. Over 10 checks since 5 September 2026 it answered 10.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://nlp-mcp.thankfulfield-a7857897.eastus.azurecontainerapps.io/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: io.github.fasuizu-br. Endpoint host: nlp-mcp.thankfulfield-a7857897.eastus.azurecontainerapps.io. ARD identifier: urn:air:io.github.fasuizu-br:mcp:nlp-tools.
First indexed 31 August 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.