AI Certificates

Practice questions for the four Claude certifications. The assistant never sees the key.

我該用這個嗎

品質與安全性

A
說明品質
94%
結構描述完整度
86%
命名品質
96%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

發現項目(1)

  • LOWTool 'check_answer' description lacks action verb在 check_answer 中

根據工具定義與協定合規性的自動化分析。

上下文成本

~922Token(工具定義)
~1.1 KB典型回應大小
中等的注意力影響(128k 上下文的 0.72%)

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": {
    "practice-exams": {
      "url": "https://aicertificates.study/api/mcp"
    }
  }
}

遠端端點

https://aicertificates.study/api/mcpstreamable-http

它能做什麼

工具清單

工具(5)

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢list_exams

The Claude certifications covered here, with exam codes, item counts, fees and the full domain list with published weights. Call this first to get valid exam slugs.

輸入結構描述

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
🟢get_practice_question(exam, domain, exclude_ids, focus)

Returns one original practice question with its options and no answer key. Present it to the user and let them choose before calling check_answer. Pass every id already served in exclude_ids — this server is stateless and remembers nothing.

輸入結構描述

{
  "type": "object",
  "properties": {
    "exam": {
      "type": "string",
      "enum": [
        "ccar-p",
        "ccdv-f",
        "ccao-f",
        "ccar-f"
      ],
      "description": "Exam slug from list_exams."
    },
    "domain": {
      "type": "string",
      "description": "Optional domain id (e.g. \"d3\") to drill one area. Domain ids come from list_exams."
    },
    "exclude_ids": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Question ids already served in this session, so they are not repeated."
    },
    "focus": {
      "type": "string",
      "enum": [
        "hardest",
        "traps"
      ],
      "description": "Optional ordering by how everyone else answers these questions: \"hardest\" serves the highest crowd miss rates first, \"traps\" serves the questions most people get wrong the SAME way — a shared misconception rather than merely a hard question. Nothing is filtered out; questions with no crowd data simply come last."
    }
  },
  "required": [
    "exam"
  ],
  "additionalProperties": false
}
🟢my_progress(exam)

Their recorded history for one exam, broken down by blueprint domain with the weakest first, plus how their misses compare with everyone else's on the same free-form questions. Call this at the start of a study session to decide what to drill, and after a run of questions to show what moved. It names the domain to pass to get_practice_question, and when their misses follow the crowd's favorite wrong answers it says to drill those with focus: "traps". Only a signed-in account has history; anonymous callers are told so rather than shown zeros.

輸入結構描述

{
  "type": "object",
  "properties": {
    "exam": {
      "type": "string",
      "enum": [
        "ccar-p",
        "ccdv-f",
        "ccao-f",
        "ccar-f"
      ],
      "description": "Exam slug from list_exams."
    }
  },
  "required": [
    "exam"
  ],
  "additionalProperties": false
}
🟢open_study(exam, domain, sub_objective)

Open or resume the study page for an exam, optionally focused on a domain or a sub-objective. Use this when someone asks to study rather than to be quizzed in chat: the page gives them a visible question they answer themselves, and once it is open a richer set of tools appears for reading and steering that screen. Returns the URL; a browser agent should navigate there.

輸入結構描述

{
  "type": "object",
  "properties": {
    "exam": {
      "type": "string",
      "description": "Exam slug from list_exams."
    },
    "domain": {
      "type": "string",
      "description": "Optional blueprint domain, e.g. \"d3\"."
    },
    "sub_objective": {
      "type": "string",
      "description": "Optional concept, e.g. \"d1.5\". Ids are per-exam."
    }
  },
  "required": [
    "exam"
  ]
}
🟢check_answer(exam, question_id, selected)

Grades the user's choice and returns an explanation for EVERY option, including the ones they did not pick. On this exam two options are frequently defensible and only one is credited, so the reasons the wrong options lose are the part worth teaching.

輸入結構描述

{
  "type": "object",
  "properties": {
    "exam": {
      "type": "string",
      "enum": [
        "ccar-p",
        "ccdv-f",
        "ccao-f",
        "ccar-f"
      ],
      "description": "Exam slug."
    },
    "question_id": {
      "type": "string",
      "description": "The id from get_practice_question."
    },
    "selected": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Option letters the user chose, e.g. [\"B\"] or [\"B\",\"D\"]."
    }
  },
  "required": [
    "exam",
    "question_id",
    "selected"
  ],
  "additionalProperties": false
}

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