AI Tools
基于您的财务状况和目标,生成个性化的财富自由财务规划,包含投资策略和实施计划
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/ai-wealth-freedom-planner' \
-H 'Content-Type: application/json' \
-d '{"currentAge":0,"retirementAge":0,"currentIncome":0,"targetIncome":0,"monthlyExpenses":0,"currentSavings":0,"investmentExperience":"beginner","riskTolerance":"moderate","financialGoals":"请描述您的主要财务目标...","planningTimeframe":"medium","language":"en"}'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/ai-wealth-freedom-planner| 参数名 | 类型 | 必填 | 说明 |
|---|---|---|---|
| currentAge | number | 是 | 您的当前年龄,用于计算财务规划时间跨度 |
| retirementAge | number | 是 | 您希望实现财务自由的年龄目标 |
| currentIncome | number | 是 | 您的当前年收入(单位:元) |
| targetIncome | number | 是 | 您希望达到的目标年收入(单位:元) |
| monthlyExpenses | number | 是 | 您的月度支出(单位:元) |
| currentSavings |
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-ai-wealth-freedom-planner": {
"name": "ai-wealth-freedom-planner",
"description": "基于您的财务状况和目标,生成个性化的财富自由财务规划,包含投资策略和实施计划",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=ai-wealth-freedom-planner",
"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": "ai-wealth-freedom-planner",
"arguments": {
"currentAge": 0,
"retirementAge": 0,
"currentIncome": 0,
"targetIncome": 0,
"monthlyExpenses": 0,
"currentSavings": 0,
"investmentExperience": "beginner",
"riskTolerance": "moderate",
"financialGoals": "请描述您的主要财务目标...",
"planningTimeframe": "medium",
"language": "en"
}
}
}有问题或反馈?请联系 [email protected]
| number |
| 是 |
| 您当前的储蓄总额(单位:元) |
| investmentExperience | select | 是 | — |
| riskTolerance | select | 是 | — |
| financialGoals | textarea | 否 | 例如:买房、子女教育、创业、旅行等 |
| planningTimeframe | select | 是 | — |
| language | select | 否 | — |
流式结果
data: {"chunk": "data: processed content 1", "type": "stream"}
data: {"chunk": "data: processed content 2", "type": "stream"}
data: {"type": "done"}