MCP MeasureMCP Measure

index observed

AI 與科技名詞白話解釋

AI 與科技名詞白話解釋：MCP、RAG、AI 代理人等名詞的白話定義。台灣繁體中文 MCP 工具。

Should I use this

Quality & Safety

B
Description quality
57%
Schema completeness
80%
Naming quality
90%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Findings (6)

  • LOWTool 'explain_term' description lacks action verbin explain_term
  • LOWTool 'search_glossary' description lacks action verbin search_glossary
  • LOWTool 'compare_concepts' description lacks action verbin compare_concepts
  • LOWTool 'get_howto' description lacks action verbin get_howto
  • LOWTool 'classify_search_intent' description lacks action verbin classify_search_intent
  • LOWTool 'list_topics' description lacks action verbin list_topics

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~731Tokens (tool definitions)
~321 BTypical response size
Moderate attention impact (0.57% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "glossary": {
      "url": "https://glossary.penguindriver.com/mcp"
    }
  }
}

Remote endpoints

https://glossary.penguindriver.com/mcpstreamable-http

What it can do

Tool inventory

Tools (6)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢explain_term(term)

用白話解釋 AI 或科技名詞（如 MCP、RAG、AI 代理人、幻覺、GEO、x402），回傳定義、運作方式、例子、常見誤解、FAQ 與原始來源。可用中文、英文或別名。

Input Schema

{
  "type": "object",
  "properties": {
    "term": {
      "type": "string",
      "description": "名詞或 id，例如 MCP、檢索增強生成、ai-agent"
    }
  },
  "required": [
    "term"
  ]
}
🟢search_glossary(q, limit)

模糊搜尋本站的 AI 名詞、概念比較與實作教學。

Input Schema

{
  "type": "object",
  "properties": {
    "q": {
      "type": "string"
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 20
    }
  },
  "required": [
    "q"
  ]
}
⚪compare_concepts(id, a, b)

比較兩個 AI 概念差在哪（如 RAG vs 微調、MCP vs API、SEO vs GEO），回傳結論、比較表與各自適用情境。可給 id，或 a、b 兩個名詞。

Input Schema

{
  "type": "object",
  "properties": {
    "id": {
      "type": "string"
    },
    "a": {
      "type": "string"
    },
    "b": {
      "type": "string"
    }
  }
}
🟢get_howto(id, q)

取得 AI 實作教學（建立 MCP 伺服器、llms.txt、FAQPage JSON-LD、robots.txt 封鎖 AI 訓練、x402 流程、計算 Token），含需求、步驟、程式碼與常見錯誤。

Input Schema

{
  "type": "object",
  "properties": {
    "id": {
      "type": "string"
    },
    "q": {
      "type": "string",
      "description": "關鍵字，例如 MCP、llms.txt"
    }
  }
}
🟢classify_search_intent(q)

判斷一句搜尋或提問屬於資訊探索、商業比較、技術除錯或行動指引哪種意圖，並給出建議答案結構、結構化資料類型與本站相關內容。

Input Schema

{
  "type": "object",
  "properties": {
    "q": {
      "type": "string"
    }
  },
  "required": [
    "q"
  ]
}
🟢list_topics(category)

列出所有名詞（可依分類篩選）、概念比較與實作教學。

Input Schema

{
  "type": "object",
  "properties": {
    "category": {
      "type": "string",
      "enum": [
        "基礎概念",
        "模型技術",
        "協定與標準",
        "應用與產品",
        "搜尋與行銷",
        "硬體"
      ]
    }
  }
}

Community

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Evidence

Recent observations

verifiedversion not recorded6 tools