Tuteliq MCP Server

MCP server for Tuteliq - AI-powered child safety tools for Claude

API Docs • Dashboard • Discord

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What is this?

Tuteliq MCP Server brings AI-powered child safety tools directly into Claude, Cursor, and other MCP-compatible AI assistants. Ask Claude to check messages for bullying, detect grooming patterns, or generate safety action plans.

Available Tools (33)

Safety Detection

Tool	Description
detect_bullying	Analyze text for bullying, harassment, or harmful language
detect_grooming	Detect grooming patterns and predatory behavior in conversations
detect_unsafe	Identify unsafe content (self-harm, violence, explicit material)
analyze	Quick comprehensive safety check (bullying + unsafe)
analyze_emotions	Analyze emotional content and mental state indicators
get_action_plan	Generate age-appropriate guidance for safety situations
generate_report	Create incident reports from conversations

Voice & Image Analysis

Tool	Description
analyze_voice	Transcribe audio and run safety analysis on the transcript
analyze_image	Analyze images for visual safety + OCR text extraction

Webhook Management

Tool	Description
list_webhooks	List all configured webhooks
create_webhook	Create a new webhook endpoint
update_webhook	Update webhook configuration
delete_webhook	Delete a webhook
test_webhook	Send a test payload to verify webhook
regenerate_webhook_secret	Regenerate webhook signing secret

Pricing

Tool	Description
get_pricing	Get available pricing plans
get_pricing_details	Get detailed pricing with features and limits

Usage & Billing

Tool	Description
get_usage_history	Get daily usage history
get_usage_by_tool	Get usage by tool/endpoint
get_usage_monthly	Get monthly usage with billing info

GDPR Account

Tool	Description
delete_account_data	Delete all account data (Right to Erasure)
export_account_data	Export all account data as JSON (Data Portability)
record_consent	Record user consent for data processing
get_consent_status	Get current consent status
withdraw_consent	Withdraw a previously granted consent
rectify_data	Correct user data (Right to Rectification)
get_audit_logs	Get audit trail of all data operations

Breach Management

Tool	Description
log_breach	Log a new data breach (starts 72-hour notification clock)
list_breaches	List all data breaches, optionally filtered by status
get_breach	Get details of a specific data breach
update_breach_status	Update breach status and notification progress

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Installation

Claude Desktop

Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on Mac):

{
  "mcpServers": {
    "tuteliq": {
      "command": "npx",
      "args": ["-y", "@tuteliq/mcp"],
      "env": {
        "TUTELIQ_API_KEY": "your-api-key"
      }
    }
  }
}

Cursor

Add to your Cursor MCP settings:

{
  "mcpServers": {
    "tuteliq": {
      "command": "npx",
      "args": ["-y", "@tuteliq/mcp"],
      "env": {
        "TUTELIQ_API_KEY": "your-api-key"
      }
    }
  }
}

Global Install

npm install -g @tuteliq/mcp

Then run:

TUTELIQ_API_KEY=your-api-key tuteliq-mcp

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Usage Examples

Once configured, you can ask Claude:

Bullying Detection

"Check if this message is bullying: 'Nobody likes you, just go away'"

Response:

## ⚠️ Bullying Detected

**Severity:** 🟠 Medium
**Confidence:** 92%
**Risk Score:** 75%

**Types:** exclusion, verbal_abuse

### Rationale
The message contains direct exclusionary language...

### Recommended Action
`flag_for_moderator`

Grooming Detection

"Analyze this conversation for grooming patterns..."

Quick Safety Check

"Is this message safe? 'I don't want to be here anymore'"

Emotion Analysis

"Analyze the emotions in: 'I'm so stressed about school and nobody understands'"

Action Plan

"Give me an action plan for a 12-year-old being cyberbullied"

Incident Report

"Generate an incident report from these messages..."

Voice Analysis

"Analyze this audio file for safety: /path/to/recording.mp3"

Image Analysis

"Check this screenshot for harmful content: /path/to/screenshot.png"

Webhook Management

"List my webhooks" "Create a webhook for critical incidents at https://example.com/webhook"

Usage

"Show my monthly usage"

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Get an API Key

1. Go to tuteliq.app
2. Create an account
3. Generate an API key
4. Add it to your MCP config

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Requirements

• Node.js 18+
• Tuteliq API key

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Best Practices

Message Batching

The bullying and unsafe content tools analyze a single text field per request. If you're analyzing a conversation, concatenate a sliding window of recent messages into one string rather than sending each message individually. Single words or short fragments lack context for accurate detection and can be exploited to bypass safety filters.

The grooming tool already accepts a messages[] array and analyzes the full conversation in context.

PII Redaction

Enable PII_REDACTION_ENABLED=true on your Tuteliq API to automatically strip emails, phone numbers, URLs, social handles, IPs, and other PII from detection summaries and webhook payloads. The original text is still analyzed in full — only stored outputs are scrubbed.

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Support

• API Docs: api.tuteliq.ai/docs
• Discord: discord.gg/7kbTeRYRXD
• Email: support@tuteliq.ai

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License

MIT License - see LICENSE for details.

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The Mission: Why This Matters

Before you decide to contribute or sponsor, read these numbers. They are not projections. They are not estimates from a pitch deck. They are verified statistics from the University of Edinburgh, UNICEF, NCMEC, and Interpol.

• 302 million children are victims of online sexual exploitation and abuse every year. That is 10 children every second. (Childlight / University of Edinburgh, 2024)
• 1 in 8 children globally have been victims of non-consensual sexual imagery in the past year. (Childlight, 2024)
• 370 million girls and women alive today experienced rape or sexual assault in childhood. An estimated 240–310 million boys and men experienced the same. (UNICEF, 2024)
• 29.2 million incidents of suspected child sexual exploitation were reported to NCMEC's CyberTipline in 2024 alone — containing 62.9 million files (images, videos). (NCMEC, 2025)
• 546,000 reports of online enticement (adults grooming children) in 2024 — a 192% increase from the year before. (NCMEC, 2025)
• 1,325% increase in AI-generated child sexual abuse material reports between 2023 and 2024. The technology that should protect children is being weaponized against them. (NCMEC, 2025)
• 100 sextortion reports per day to NCMEC. Since 2021, at least 36 teenage boys have taken their own lives because they were victimized by sextortion. (NCMEC, 2025)
• 84% of reports resolve outside the United States. This is not an American problem. This is a global emergency. (NCMEC, 2025)

End-to-end encryption is making platforms blind. In 2024, platforms reported 7 million fewer incidents than the year before — not because abuse stopped, but because they can no longer see it. The tools that catch known images are failing. The systems that rely on human moderators are overwhelmed. The technology to detect behavior — grooming patterns, escalation, manipulation — in real-time text conversations exists right now. It is running at api.tuteliq.ai.

The question is not whether this technology is possible. The question is whether we build the company to put it everywhere it needs to be.

Every second we wait, another child is harmed.

We have the technology. We need the support.

If this mission matters to you, consider sponsoring our open-source work so we can keep building the tools that protect children — and keep them free and accessible for everyone.

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_{Built with care for child safety by the Tuteliq team}