Sports
篮球统计计算器
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
json· JSON 结果打开工具
快速开始
用三种语言从你的代码中调用此工具。
cURL
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}'API 参考
以 JSON 形式 POST 提交输入参数。文件类型参数需先单独上传。
请求端点
HTTP
POST https://api.elysiatools.com/zh/api/tools/basketball-stats请求参数
| 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 |
MCP 集成
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。
服务配置
将以下内容加入你的 MCP 客户端配置：
mcp.json
{
"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"
}
}
}列出可用工具
连接到 SSE 端点后，列出已开放的工具：
tools/list
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/list"
}调用此工具
通过工具 id 调用，参数由其参数表构建：
tools/call
{
"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
}
}
}可用逗号分隔的 toolId 在一个会话中串联多个工具，例如 /mcp/sse?toolId=png-to-webp,jpg-to-webp,gif-to-webp（最多 20 个）。
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