# Tuteliq MCP server

Source: https://glimind.com/server/mcp-registry%2Fai.tuteliq%2Fmcp
Registry id: `mcp-registry/ai.tuteliq/mcp`
Status: auth-required (checked 2026-10-27T00:05:01.315Z)

## Measurements (30 days)

- Uptime: 100%
- Checks: 215
- Outages (90 days): 0

## Install

```json
{
  "mcpServers": {
    "tuteliq-mcp-server": {
      "type": "http",
      "url": "https://api.tuteliq.ai/mcp"
    }
  }
}
```

Claude Code:

```sh
claude mcp add --transport http tuteliq-mcp-server https://api.tuteliq.ai/mcp
```

## Tools (12)

- `analyse_multi`: Run multiple detection endpoints on a single piece of text in one call
- `analyze`: Quick comprehensive safety check (bullying + unsafe)
- `analyze_emotions`: Analyze emotional content and mental state indicators — accepts single text or full conversations
- `batch_analyze`: Analyze up to 50 items in a single request — all twelve detection types (bullying, grooming, unsafe, emotions, social_engineering, app_fraud, romance_scam, mule
- `detect_app_fraud`: Detect app-based fraud (fake investment platforms, phishing apps, subscription traps)
- `detect_bullying`: Analyze text for bullying, harassment, and gaming toxicity — including coded slang, emoji, and deliberate filter evasion, with context that tells trash-talk apa
- `detect_grooming`: Detect grooming patterns and predatory behavior in conversations
- `detect_romance_scam`: Detect romance scam patterns (love-bombing, financial requests, identity deception)
- `detect_social_engineering`: Detect social engineering tactics (pretexting, urgency fabrication, authority impersonation)
- `detect_unsafe`: Identify unsafe content (self-harm, violence, explicit material)
- `generate_report`: Create incident reports from conversations
- `get_action_plan`: Generate age-appropriate guidance for safety situations

Measured by Glimind (https://glimind.com): MCP handshake + tool list only, no tool is ever called. CC BY 4.0.