planner

Compute real duty rosters from your AI assistant - rule-based vigotime planner, API key or OAuth.

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品質與安全性

B
說明品質
90%
結構描述完整度
62%
命名品質
80%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

發現項目(2)

  • LOWTool 'solve_result' description lacks action verb在 solve_result 中
  • LOWTool 'account_balance' description lacks action verb在 account_balance 中

根據工具定義與協定合規性的自動化分析。

上下文成本

~733Token(工具定義)
~577 B典型回應大小
中等的注意力影響(128k 上下文的 0.57%)

這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高,可用於其他工作的注意力就越少。

安裝

一鍵安裝

將以下內容加入你的 `claude_desktop_config.json` 檔案:

{
  "mcpServers": {
    "planner": {
      "url": "https://api.vigotime.com/mcp"
    }
  }
}

遠端端點

https://api.vigotime.com/mcpstreamable-http

它能做什麼

工具清單

工具(6)

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟡solve_submit(payload)

Reicht einen Dienstplan-Solve-Job ein. `payload` ist der self-contained Request: Pflicht: start_date, end_date (ISO), department {id}, employees [{id, contractHoursPerWeek, qualificationIds}], shifts [{id, departmentId, name, startTime, endTime, shiftType, minStaff}]. Optional u. a.: planning_rules, wishes, vacations, sick_leaves, holiday_dates, locked_assignments, social_points, wish_costs, config {timeout_seconds}. vacations darf Termine NACH end_date enthalten — noetig bei Datums-Kopplungsregeln mit Block-Tagen hinter dem Fenster (siehe Instructions). Datenschutz: IDs statt Namen verwenden. Antwort: {job_id, status}.

輸入結構描述

{
  "type": "object",
  "properties": {
    "payload": {
      "additionalProperties": true,
      "title": "Payload",
      "type": "object"
    }
  },
  "required": [
    "payload"
  ],
  "title": "solve_submitArguments"
}

輸出結構描述

{
  "type": "object",
  "additionalProperties": true,
  "title": "solve_submitDictOutput"
}
⚪solve_status(job_id)

Status eines Solve-Jobs (pending/running/completed/failed) inkl. Fortschritt.

輸入結構描述

{
  "type": "object",
  "properties": {
    "job_id": {
      "title": "Job Id",
      "type": "string"
    }
  },
  "required": [
    "job_id"
  ],
  "title": "solve_statusArguments"
}

輸出結構描述

{
  "type": "object",
  "additionalProperties": true,
  "title": "solve_statusDictOutput"
}
⚪solve_result(job_id)

Ergebnis eines fertigen Solve-Jobs: assignments [{employee_id, shift_id, date}], unassigned_shifts mit Begründung, Statistiken.

輸入結構描述

{
  "type": "object",
  "properties": {
    "job_id": {
      "title": "Job Id",
      "type": "string"
    }
  },
  "required": [
    "job_id"
  ],
  "title": "solve_resultArguments"
}

輸出結構描述

{
  "type": "object",
  "additionalProperties": true,
  "title": "solve_resultDictOutput"
}
⚪account_balance

Aktuelles Token-Guthaben der eigenen Organisation (Solves kosten Tokens).

輸入結構描述

{
  "type": "object",
  "properties": {},
  "title": "account_balanceArguments"
}

輸出結構描述

{
  "type": "object",
  "additionalProperties": true,
  "title": "account_balanceDictOutput"
}
⚪service_info

Build-Stand des laufenden Planner-Service: version (fortlaufende Build-Nummer), gitCommit, buildTime (UTC). Fuer Support-Anfragen und um Ergebnisse einem Software-Stand zuzuordnen.

輸入結構描述

{
  "type": "object",
  "properties": {},
  "title": "service_infoArguments"
}

輸出結構描述

{
  "type": "object",
  "additionalProperties": true,
  "title": "service_infoDictOutput"
}
⚪example_payload(kind)

Ein sofort lauffähiger Beispiel-Payload für solve_submit. kind='simple' (1 Woche, 3 MA, 2 Schichten), kind='wishes' (Wünsche, Social Points, Wunschkosten) oder kind='rules' (ArbZG-Planungsregeln: 11 h Ruhe hart + max. 5 Folgetage — zeigt, wie Regeln den Plan formen; Param-Namen sind exakt, falsche werden still ignoriert).

輸入結構描述

{
  "type": "object",
  "properties": {
    "kind": {
      "default": "simple",
      "title": "Kind",
      "type": "string"
    }
  },
  "title": "example_payloadArguments"
}

輸出結構描述

{
  "type": "object",
  "additionalProperties": true,
  "title": "example_payloadDictOutput"
}

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已驗證未記錄版本6 個工具
已驗證未記錄版本6 個工具