AI Certificates

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

我该使用它吗

质量与安全性

A
描述质量
94%
模式完整度
86%
命名质量
96%
投毒风险
100%
权限匹配度
100%
协议合规性
100%

发现(1)

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

基于对工具定义和协议合规性的自动分析。

上下文开销

~922token 数(工具定义)
~1.1 KB典型响应大小
对注意力有中等影响(占 128k 上下文窗口的 0.72%)

这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高,可用于其他任务的注意力就越少。

安装

一键安装

将以下内容添加到你的 `claude_desktop_config.json` 文件中:

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

远程端点

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

它能做什么

工具清单

工具(5)

🟢 只读🟡 写入🔴 删除⚪ 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.

输入模式

{
  "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.

输入模式

{
  "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.

输入模式

{
  "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.

输入模式

{
  "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.

输入模式

{
  "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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