Utilities
把公司级 Objective 逐级下钻到部门→团队→个人,每个节点设权重/目标值/当前值,下层加权汇总为上层完成度。输出可视化树状结构 + Markdown,可复制到文档。
用三种语言从你的代码中调用此工具。
curl -X POST 'http://127.0.0.1:3003/zh/api/tools/okr-tree-decomposer' \
-H 'Content-Type: application/json' \
-d '{"treeDefinition":"Grow ARR to $10M | target: 10000000 | current: 6200000 | unit: USD\n Sales | weight: 60\n Enterprise | target: 50 | current: 32 | unit: accounts\n SMB | target: 200 | current: 140 | unit: accounts\n Marketing | weight: 40 | target: 5000 | current: 3100 | unit: leads","outputFormat":"html"}'以 JSON 形式 POST 提交输入参数。文件类型参数需先单独上传。
POST http://127.0.0.1:3003/zh/api/tools/okr-tree-decomposer| 参数名 | 类型 | 必填 | 说明 |
|---|---|---|---|
| treeDefinition | textarea | 是 | — |
| outputFormat | select | 否 | — |
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-okr-tree-decomposer": {
"name": "okr-tree-decomposer",
"description": "把公司级 Objective 逐级下钻到部门→团队→个人,每个节点设权重/目标值/当前值,下层加权汇总为上层完成度。输出可视化树状结构 + Markdown,可复制到文档。",
"baseUrl": "http://127.0.0.1:3003/mcp/sse?toolId=okr-tree-decomposer",
"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": "okr-tree-decomposer",
"arguments": {
"treeDefinition": "Grow ARR to $10M | target: 10000000 | current: 6200000 | unit: USD\n Sales | weight: 60\n Enterprise | target: 50 | current: 32 | unit: accounts\n SMB | target: 200 | current: 140 | unit: accounts\n Marketing | weight: 40 | target: 5000 | current: 3100 | unit: leads",
"outputFormat": "html"
}
}
}有问题或反馈？请联系 [email protected]