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.
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
- Go to safenest.app
- Create an account
- Generate an API key
- Add it to your MCP config
Requirements
- Node.js 18+
- SafeNest API key
Support
- API Docs: api.safenest.dev/docs
- Discord: discord.gg/7kbTeRYRXD
- Email: support@safenest.dev
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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