Text Processing
快速返回匹配模式或正则表达式的文本单词
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/text-word-filter' \
-H 'Content-Type: application/json' \
-d '{"textInput":"输入要过滤单词的文本...","filterType":"contains","pattern":"输入模式、文本或正则表达式...","wordBoundary":true,"caseSensitive":false,"outputFormat":"space","separator":"输入自定义分隔符...","removeDuplicates":false,"sortAlphabetically":false,"maxLength":"Maximum word length...","maxVowels":"Maximum vowel count...","maxConsonants":"Maximum consonant count..."}'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/text-word-filter| 参数名 | 类型 | 必填 | 说明 |
|---|---|---|---|
| textInput | textarea | 是 | — |
| filterType | select | 是 | — |
| pattern | text | 否 | 要匹配的模式(大多数过滤类型需要) |
| wordBoundary | checkbox | 否 | 仅匹配完整单词 |
| caseSensitive | checkbox | 否 | 过滤时匹配大小写 |
| outputFormat | select |
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-text-word-filter": {
"name": "text-word-filter",
"description": "快速返回匹配模式或正则表达式的文本单词",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=text-word-filter",
"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": "text-word-filter",
"arguments": {
"textInput": "输入要过滤单词的文本...",
"filterType": "contains",
"pattern": "输入模式、文本或正则表达式...",
"wordBoundary": true,
"caseSensitive": false,
"outputFormat": "space",
"separator": "输入自定义分隔符...",
"removeDuplicates": false,
"sortAlphabetically": false,
"maxLength": "Maximum word length...",
"maxVowels": "Maximum vowel count...",
"maxConsonants": "Maximum consonant count..."
}
}
}有问题或反馈?请联系 [email protected]
| 是 |
| — |
| separator | text | 否 | 单词间的自定义分隔符(覆盖输出格式) |
| removeDuplicates | checkbox | 否 | 从结果中删除重复单词 |
| sortAlphabetically | checkbox | 否 | 按字母顺序排序结果 |
| maxLength | text | 否 | 最大单词长度(用于长度过滤类型) |
| maxVowels | text | 否 | 最大元音数(用于元音过滤类型) |
| maxConsonants | text | 否 | 最大辅音数(用于辅音过滤类型) |
文本结果
{
"result": "Processed text content",
"error": "Error message (optional)",
"message": "Notification message (optional)",
"metadata": {
"key": "value"
}
}