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NLP Tools - Sentiment, NER, Toxicity & Language Detection

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

Connector by fasuizu-br · GitHub account verified by the MCP Registry

IndexedMITRemote (HTTP)★ 3
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Install

Works with Claude Code, VS Code, Cursor, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install connector/fasuizu-br-nlp-tools

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Remote endpoint

  • https://apim-ai-apis.azure-api.net/mcp/nlp/mcp Remote (HTTP)

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About

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

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools
6 read · 0 write · 0 deleteRead-only
Secrets
None asked for
Install scripts
Nothing to install (hosted)
Runs as
Hosted (remote endpoint)

Tools by what they do 6

From the running server's own tool list (tools/list) on Oct 25, 2026.

Read 6 · Look things up without changing anything.

  • analyze_sentiment
  • analyze_toxicity
  • check_nlp_service
  • detect_language
  • detect_pii
  • extract_entities

Network hosts it talks to 1

  • apim-ai-apis.azure-api.net · found in remote endpoint, install command

Tools (6)

As the server listed them on Oct 25, 2026. Descriptions are the server’s own words; hidden characters are shown as [U+…].

  • analyze_sentimentAnalyze Sentimentread-only

    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). model: Model variant -- 'general' (default), 'financial', 'twitter'. Returns: dict with keys: - label (str): 'positive' or 'negative' - score (float 0-1): Confidence score for the predicted label - scores (dict): All label scores (positive, negative)

  • analyze_toxicityAnalyze Toxicityread-only

    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 toxicity (hate speech, insults, threats). Returns: dict with keys: - toxic (float 0-1): Overall toxicity score - severe_toxic (float 0-1): Severe toxicity score - obscene (float 0-1): Obscenity score - threat (float 0-1): Threat score - insult (float 0-1): Insult score - identity_hate (float 0-1): Identity-…

  • check_nlp_serviceCheck NLP Serviceread-only

    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_languageDetect Languageread-only

    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 (default: 3). Returns: dict with keys: - language (str): Top predicted language ISO 639-1 code - confidence (float 0-1): Confidence for top prediction - predictions (list): Top-k predictions, each with: - language (str): ISO 639-1 code - confidence (float 0-1): Prediction confidence

  • detect_piiDetect PIIread-only

    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 + regex ensemble. Args: text: Text to scan for personally identifiable information. redact: If true, return redacted text with PII replaced by [TYPE]. Returns: dict with keys: - pii_found (list): Detected PII items, each containing: - text (str): The PII value found - type (str): PII type (EMAIL, PHONE, SSN, CRED…

  • extract_entitiesExtract Entitiesread-only

    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. Returns: dict with keys: - entities (list): Detected entities, each containing: - text (str): Entity text - label (str): Entity type (PER, ORG, LOC, MISC) - start (int): Character offset start - end (int): Character offset end - score (float 0-1): Confidence score - count…

Signals

Stars
3
Forks
0
Open issues
24
Last commit
Aug 3, 2026 (2 months ago)
Last release
Jul 29, 2026 (3 months ago)

From GitHub (fetched Oct 24, 2026).

Details

Registry name
io.github.fasuizu-br/nlp-tools
Version
1.1.0
Auth
Auth not stated
License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

NLP Tools - Sentiment, NER, Toxicity & Language Detection MCP server. Agent Mart. https://agentmart.dev/connectors/fasuizu-br-nlp-tools (last updated 2026-10-24)