INDIVIDUAL MCP TOOL

analyze_toxicity

Analyze text for toxic content.

brainiall.comnone authenticationAvailability not checked

LIVE ENDPOINT

https://api.brainiall.com/mcp/nlp/mcp

No auth detected

Connect to this endpoint to inspect the live schema for analyze_toxicity and invoke it with your own arguments.

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Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.brainiall-nlp]
url = "https://api.brainiall.com/mcp/nlp/mcp"
enabled = true

Claude Code

.mcp.json

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

Claude Desktop

Settings → Connectors → Add custom connector

Name: brainiall-nlp
Remote MCP URL: https://api.brainiall.com/mcp/nlp/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

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

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "brainiall-nlp": {
      "type": "http",
      "url": "https://api.brainiall.com/mcp/nlp/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

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

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

analyze_sentiment — Analyze text sentiment.
extract_entities — Extract named entities (NER) from text.
detect_pii — Detect personally identifiable information (PII) in text.
detect_language — Detect the language of text.
check_nlp_service — Check health status of NLP API services and loaded models.
translate_text — Translate text between 100+ languages.
summarize_text — Summarize text — extractive (verbatim key sentences in original order) or abstractive (concise rewrite).
answer_question — Answer a question using ONLY the supplied text; returns the supporting sentence(s) with character offsets.