Text Processing
统一文本分析仪表盘:词/字符/句子计数、TTR 词汇多样性、词汇密度、音节估计,以及分别的阅读时长(238 wpm)和朗读时长(150 wpm)估计 —— 外加内容词 vs 功能词 Top 词频。
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/enhanced-text-statistics-dashboard' \
-H 'Content-Type: application/json' \
-d '{"text":"The quick brown fox jumps over the lazy dog. Pack my box with five dozen liquor jugs. How vexingly quick daft zebras jump! The five boxing wizards jump quickly. Sphinx of black quartz, judge my vow."}'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/enhanced-text-statistics-dashboard| 参数名 | 类型 | 必填 | 说明 |
|---|---|---|---|
| text | textarea | 是 | — |
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-enhanced-text-statistics-dashboard": {
"name": "enhanced-text-statistics-dashboard",
"description": "统一文本分析仪表盘:词/字符/句子计数、TTR 词汇多样性、词汇密度、音节估计,以及分别的阅读时长(238 wpm)和朗读时长(150 wpm)估计 —— 外加内容词 vs 功能词 Top 词频。",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=enhanced-text-statistics-dashboard",
"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": "enhanced-text-statistics-dashboard",
"arguments": {
"text": "The quick brown fox jumps over the lazy dog. Pack my box with five dozen liquor jugs. How vexingly quick daft zebras jump! The five boxing wizards jump quickly. Sphinx of black quartz, judge my vow."
}
}
}有问题或反馈？请联系 [email protected]