Text Processing
把 leetspeak（1337）解码回纯文本，并评估输入是 leet 的可能性——用于密码策略绕过筛查、敏感词过滤规避检查、日志噪音过滤。高亮每处替换。
用三种语言从你的代码中调用此工具。
curl -X POST 'https://api.elysiatools.com/zh/api/tools/leetspeak-decoder-detector' \
-H 'Content-Type: application/json' \
-d '{"text":"h3ll0 w0rld","mode":"both","threshold":40}'以 JSON 形式 POST 提交输入参数。文件类型参数需先单独上传。
POST https://api.elysiatools.com/zh/api/tools/leetspeak-decoder-detector| 参数名 | 类型 | 必填 | 说明 |
|---|---|---|---|
| text | textarea | 是 | The text to decode and/or score. Works on a single word, a sentence, or a multi-line log dump. |
| mode | select | 否 | Both runs the full analysis. Detect-only hides the decoded text and just scores. Decode-only skips scoring. |
| threshold | number | 否 | Score at or above which the verdict is "Likely leetspeak". Lower = more sensitive (more false positives). |
HTML 结果
{
"result": "<div>Processed HTML content</div>",
"error": "Error message (optional)",
"message": "Notification message (optional)",
"metadata": {
"key": "value"
}
}将此工具加入你的 Model Context Protocol 服务，让 AI 智能体可以列出并调用它。
将以下内容加入你的 MCP 客户端配置：
{
"mcpServers": {
"elysiatools-leetspeak-decoder-detector": {
"name": "leetspeak-decoder-detector",
"description": "把 leetspeak（1337）解码回纯文本，并评估输入是 leet 的可能性——用于密码策略绕过筛查、敏感词过滤规避检查、日志噪音过滤。高亮每处替换。",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=leetspeak-decoder-detector",
"command": "",
"args": [],
"env": {},
"isActive": true,
"type": "sse"
}
}
}连接到 SSE 端点后，列出已开放的工具：
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/list"
}通过工具 id 调用，参数由其参数表构建：
{
"jsonrpc": "2.0",
"id": 2,
"method": "tools/call",
"params": {
"name": "leetspeak-decoder-detector",
"arguments": {
"text": "h3ll0 w0rld",
"mode": "both",
"threshold": 40
}
}
}有问题或反馈？请联系 [email protected]