SafeNest MCP Server

SafeNest MCP Server

Provides AI-powered child safety tools to detect bullying, grooming, and unsafe content within digital conversations. It enables AI assistants to perform emotional analysis and generate age-appropriate safety action plans or incident reports.

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README

<p align="center"> <img src="https://raw.githubusercontent.com/SafeNestSDK/mcp/main/assets/logo.png" alt="SafeNest" width="200" /> </p>

<h1 align="center">SafeNest MCP Server</h1>

<p align="center"> <strong>MCP server for SafeNest - AI-powered child safety tools for Claude</strong> </p>

<p align="center"> <a href="https://www.npmjs.com/package/@safenest/mcp"><img src="https://img.shields.io/npm/v/@safenest/mcp.svg" alt="npm version"></a> <a href="https://github.com/SafeNestSDK/mcp/blob/main/LICENSE"><img src="https://img.shields.io/github/license/SafeNestSDK/mcp.svg" alt="license"></a> </p>

<p align="center"> <a href="https://api.safenest.dev/docs">API Docs</a> • <a href="https://safenest.app">Dashboard</a> • <a href="https://discord.gg/7kbTeRYRXD">Discord</a> </p>


What is this?

SafeNest 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

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

Installation

Claude Desktop

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

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

Cursor

Add to your Cursor MCP settings:

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

Global Install

npm install -g @safenest/mcp

Then run:

SAFENEST_API_KEY=your-api-key safenest-mcp

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..."


Get an API Key

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

Requirements

  • Node.js 18+
  • SafeNest API key

Support


License

MIT License - see LICENSE for details.


<p align="center"> <sub>Built with care for child safety by the <a href="https://safenest.dev">SafeNest</a> team</sub> </p>

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