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@safenest/mcp
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MCP server for SafeNest - AI-powered child safety analysis tools for Claude and other AI assistants
MCP server for SafeNest - AI-powered child safety tools for Claude
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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.
| 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 |
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"
}
}
}
}
Add to your Cursor MCP settings:
{
"mcpServers": {
"safenest": {
"command": "npx",
"args": ["-y", "@safenest/mcp"],
"env": {
"SAFENEST_API_KEY": "your-api-key"
}
}
}
}
npm install -g @safenest/mcp
Then run:
SAFENEST_API_KEY=your-api-key safenest-mcp
Once configured, you can ask Claude:
"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`
"Analyze this conversation for grooming patterns..."
"Is this message safe? 'I don't want to be here anymore'"
"Analyze the emotions in: 'I'm so stressed about school and nobody understands'"
"Give me an action plan for a 12-year-old being cyberbullied"
"Generate an incident report from these messages..."
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.
Enable PII_REDACTION_ENABLED=true on your SafeNest 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.
MIT License - see LICENSE for details.
Built with care for child safety by the SafeNest team
FAQs
MCP server for SafeNest - AI-powered child safety analysis tools for Claude and other AI assistants
We found that @safenest/mcp demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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