AI Tools
Intelligently detect sensitive words, inappropriate content, and policy violations with detailed analysis and improvement suggestions
Call this tool from your code in three languages.
curl -X POST 'https://api.elysiatools.com/en/api/tools/content-moderation-detector' \
-H 'Content-Type: application/json' \
-d '{"text":"Enter the text you want to analyze for sensitive content...","detectionType":"general","strictness":"medium","language":"zh","includeSuggestions":"yes","exportFormat":"text"}'Send a POST request with your inputs as JSON. File parameters require a separate upload first.
POST https://api.elysiatools.com/en/api/tools/content-moderation-detector| Name | Type | Required | Description |
|---|---|---|---|
| text | textarea | Yes | Any text content that needs safety analysis - articles, comments, posts, documents, etc. |
| detectionType | select | No | — |
| strictness | select | No | — |
| language | select | No | — |
| includeSuggestions | select | No | — |
Add this tool to your Model Context Protocol server so AI agents can list and call it.
Add this block to your MCP client configuration:
{
"mcpServers": {
"elysiatools-content-moderation-detector": {
"name": "content-moderation-detector",
"description": "Intelligently detect sensitive words, inappropriate content, and policy violations with detailed analysis and improvement suggestions",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=content-moderation-detector",
"command": "",
"args": [],
"env": {},
"isActive": true,
"type": "sse"
}
}
}After connecting to the SSE endpoint, list the exposed tools:
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/list"
}Invoke the tool by its id, passing arguments built from its parameters:
{
"jsonrpc": "2.0",
"id": 2,
"method": "tools/call",
"params": {
"name": "content-moderation-detector",
"arguments": {
"text": "Enter the text you want to analyze for sensitive content...",
"detectionType": "general",
"strictness": "medium",
"language": "zh",
"includeSuggestions": "yes",
"exportFormat": "text"
}
}
}Questions or issues? Contact [email protected]
| exportFormat | select | No | — |
Stream result
data: {"chunk": "data: processed content 1", "type": "stream"}
data: {"chunk": "data: processed content 2", "type": "stream"}
data: {"type": "done"}