Math & Numbers
计算运动声源/观察者的观测频率与频移，附波前示意图
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/doppler-effect-calculator' \
-H 'Content-Type: application/json' \
-d '{"sourceFreq":700,"mediumPreset":"air","waveSpeed":343,"sourceMotion":"approaching","sourceSpeed":30,"observerMotion":"stationary","observerSpeed":0}'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/doppler-effect-calculator| 参数名 | 类型 | 必填 | 说明 |
|---|---|---|---|
| sourceFreq | number | 是 | — |
| mediumPreset | select | 否 | — |
| waveSpeed | number | 否 | — |
| sourceMotion | select | 否 | — |
| sourceSpeed | number | 否 | — |
| observerMotion | 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-doppler-effect-calculator": {
"name": "doppler-effect-calculator",
"description": "计算运动声源/观察者的观测频率与频移，附波前示意图",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=doppler-effect-calculator",
"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": "doppler-effect-calculator",
"arguments": {
"sourceFreq": 700,
"mediumPreset": "air",
"waveSpeed": 343,
"sourceMotion": "approaching",
"sourceSpeed": 30,
"observerMotion": "stationary",
"observerSpeed": 0
}
}
}有问题或反馈？请联系 [email protected]
| 否 |
| — |
| observerSpeed | number | 否 | — |
HTML 结果
{
"result": "<div>Processed HTML content</div>",
"error": "Error message (optional)",
"message": "Notification message (optional)",
"metadata": {
"key": "value"
}
}