com.brainiall/nlp

up checked 2026-11-11T11:39:10.320Z

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Publisher-provided title

Brainiall NLP

Publisher-provided description

Sentiment, toxicity, entity extraction, PII, translation, summary, QA, fraud scoring, safety audit.

Summary by lookupd

Runs NLP analysis on text: sentiment, toxicity, entities, PII detection, translation, summaries, fraud scoring, and knowledge-base…

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http nlp https://api.brainiall.com/mcp/nlp/mcp

Codex, remote (streamable-http)

codex mcp add nlp --url https://api.brainiall.com/mcp/nlp/mcp

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "nlp": {
      "url": "https://api.brainiall.com/mcp/nlp/mcp"
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Tools (22 tools)

Publisher-provided text

• 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. Brainiall Sentiment engine-based with sub-10ms latency. Multiple domai
• 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
• translate_text Translate text between 100+ languages. Args: text: The text to translate. target_lang: Target language code. source_lang: Source language code; omi
• summarize_text Summarize text — extractive (verbatim key sentences in original order) or abstractive (concise rewrite). Args: text: The text to summarize. mode: 'abst
• answer_question Answer a question using ONLY the supplied text; returns the supporting sentence(s) with character offsets. Replies found:false rather than guessing when the an
• knowledge_ingest Ingest a document into a knowledge base: it is chunked, embedded and stored for you (managed RAG). Args: namespace: The knowledge-base namespace. text:
• knowledge_query Retrieve the most relevant passages from a knowledge base plus (optionally) a grounded, cited answer. Returns found:false rather than a guess when the passages
• knowledge_list_documents List the documents stored in a knowledge base (most recent first). Args: namespace: The knowledge-base namespace. Returns: dict with keys: documents (
• fraud_score Score a transaction or account event for fraud risk. Send whatever signals you have — all optional. Returns a 0-1 fraud probability, a risk level, the exact ri
• fraud_feedback Report the confirmed outcome of an event so the fraud model can be re-calibrated to your data. Args: event_id: The event identifier. label: 'fraud' | '
• extract_key_phrases Statistical key-phrase extraction — top-N ranked phrases. Brainiall Key Phrases engine. Pure-statistical (TF + position + casing + stopword filter), no ML cost
• aspect_sentiment Sentiment per aspect. Brainiall Aspect Sentiment engine. Splits the text into sentences mentioning each aspect, classifies each, aggregates.
• classify_text_custom Zero-shot text classification — define your labels at call time. No training, no data upload. Brainiall Custom Classifier engine. Returns {top_label, scores, c
• link_entities_to_wikidata Named-entity recognition + canonical linking to Wikidata Q-ids. Brainiall Entity Linker engine. Disambiguates 'Apple' the company from 'apple' the fruit.
• detect_conversational_pii Multi-turn PII detection with cross-turn coreference. Brainiall Conversational PII engine. Same surface text + type across turns gets the same entity_id.
• detect_prompt_injection Classify a prompt before it reaches your LLM. Brainiall Prompt Shield engine. Returns category (jailbreak | prompt_injection | data_exfiltration | impersonatio
• check_groundedness Hallucination check: is a claim actually supported by a source text? Brainiall Groundedness engine. Returns {grounded, confidence, supporting_span, reason}.
• detect_protected_material Detect copyrighted text in user input — famous lyrics, literary openings, proprietary code. Brainiall Protected Material engine. Returns matched spans with sou

Details

• Version: 1.0.0
• Transports: streamable-http
• Uptime (7 days): 100%
• Median latency: 810 ms
• First indexed: 2026-11-01T08:53:14.767Z
• Last seen in registry: 2026-11-01T08:53:14.767Z
• Website: https://brainiall.com

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