Text Processing
分析文本中的词频和字符分布
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-frequency' \
-H 'Content-Type: application/json' \
-d '{"textInput":"Enter text to analyze...","analysisType":"words","caseSensitive":false,"minWordLength":1,"includeNumbers":true,"showPercentage":true,"topN":20}'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-frequency| 参数名 | 类型 | 必填 | 说明 |
|---|---|---|---|
| textInput | textarea | 是 | — |
| analysisType | select | 是 | — |
| caseSensitive | checkbox | 否 | — |
| minWordLength | number | 否 | — |
| includeNumbers | checkbox | 否 | — |
| showPercentage | checkbox |
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-frequency": {
"name": "text-word-frequency",
"description": "分析文本中的词频和字符分布",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=text-word-frequency",
"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-frequency",
"arguments": {
"textInput": "Enter text to analyze...",
"analysisType": "words",
"caseSensitive": false,
"minWordLength": 1,
"includeNumbers": true,
"showPercentage": true,
"topN": 20
}
}
}有问题或反馈？请联系 [email protected]
| 否 |
| — |
| topN | number | 否 | — |
文本结果
{
"result": "Processed text content",
"error": "Error message (optional)",
"message": "Notification message (optional)",
"metadata": {
"key": "value"
}
}