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MCP live MCP 2025-11-25 streamable-http

Brainiall NLP

com.brainiall/nlp

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

Watch this dependency Share evidence report
Uptime
80.0%
5 direct probes · 30d
Response
1415ms
last probe
Tools
22
callable
Resources
3
readable
Prompts
3
available
Primary URL
https://api.brainiall.com/mcp/nlp/mcp
Score: 100/100
Handshake verified by our own probe.
pass Answers the MCP handshake 50/50
The handshake and the list calls succeeded on the primary URL.
pass Lists tools, resources or prompts 30/30
22 tools, 3 resources, 3 prompts returned.
pass 3 or more catalogue items 10/10
28 items in total; 3 or more earns these points.
pass Describes itself 10/10
99 characters; more than 30 earns these points.

Tools · 22

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…

analyze_sentiment

Analyze text sentiment. Returns positive/negative classification with confidence scores. Brainiall Sentiment engine-based with sub-10ms latency. Multiple domain-specific model variants available. Ar…

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: …

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 l…

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. t…

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 …

translate_text

Translate text between 100+ languages. Args: text: The text to translate. target_lang: Target language code. source_lang: Source language code; omit to auto-detect. Returns: dict wit…

summarize_text

Summarize text — extractive (verbatim key sentences in original order) or abstractive (concise rewrite). Args: text: The text to summarize. mode: 'abstractive' or 'extractive'. max_length…

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 answer isn't present in the text. Args: …

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: The document text. title: Optional …

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 don't contain the answer. Args: na…

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 (list of {doc_id, title, ...}).

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 risk factors that drove the score (each wi…

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' | 'legitimate' | 'chargeback' | 'dispute'. …

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, confidence}.

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 | impersonation | none), severity, reason, confidence.

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 source attribution.

Resources · 3

nlp_capabilities

Available NLP capabilities and their descriptions.

nlp://capabilities
supported_languages

List of 176 supported languages for language detection.

nlp://supported-languages
nlp_pricing

Pricing information for NLP API calls.

nlp://pricing

Prompts · 3

content_moderation_pipeline

Run a complete content moderation pipeline on text. Args: text: The text to moderate.

text_analysis_report

Generate a comprehensive text analysis report. Args: text: The text to analyze.

pii_compliance_audit

Audit text for PII compliance (GDPR/CCPA). Args: text: The text to audit for PII compliance.

How to use

Claude Desktop or claude.ai: add a custom connector (Customize → Connectors; on Team and Enterprise plans an owner adds it under Organization settings → Connectors) with this server URL: https://api.brainiall.com/mcp/nlp/mcp

Cursor or Cline: add to your MCP config:

{
  "mcpServers": {
    "brainiall_nlp": {
      "url": "https://api.brainiall.com/mcp/nlp/mcp",
      "transport": "streamable-http"
    }
  }
}