Sports
计算篮球统计数据，包括投篮命中率、场均得分和球员效率评分
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/basketball-stats' \
-H 'Content-Type: application/json' \
-d '{"points":250,"fieldGoalsMade":100,"fieldGoalsAttempted":200,"threePointersMade":30,"freeThrowsMade":40,"freeThrowsAttempted":50,"rebounds":80,"assists":60,"steals":20,"blocks":15,"turnovers":40,"gamesPlayed":10,"minutesPlayed":250}'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/basketball-stats| 参数名 | 类型 | 必填 | 说明 |
|---|---|---|---|
| points | number | 是 | — |
| fieldGoalsMade | number | 是 | — |
| fieldGoalsAttempted | number | 是 | — |
| threePointersMade | number | 是 | — |
| freeThrowsMade | number | 是 | — |
| freeThrowsAttempted |
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-basketball-stats": {
"name": "basketball-stats",
"description": "计算篮球统计数据，包括投篮命中率、场均得分和球员效率评分",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=basketball-stats",
"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": "basketball-stats",
"arguments": {
"points": 250,
"fieldGoalsMade": 100,
"fieldGoalsAttempted": 200,
"threePointersMade": 30,
"freeThrowsMade": 40,
"freeThrowsAttempted": 50,
"rebounds": 80,
"assists": 60,
"steals": 20,
"blocks": 15,
"turnovers": 40,
"gamesPlayed": 10,
"minutesPlayed": 250
}
}
}有问题或反馈？请联系 [email protected]
| number |
| 是 |
| — |
| rebounds | number | 是 | — |
| assists | number | 是 | — |
| steals | number | 是 | — |
| blocks | number | 是 | — |
| turnovers | number | 是 | — |
| gamesPlayed | number | 是 | — |
| minutesPlayed | number | 是 | — |
JSON 结果
{
"key": {...},
"metadata": {
"key": "value"
},
"error": "Error message (optional)",
"message": "Notification message (optional)"
}