mcp

Integrates Wolfram Language and Wolfram|Alpha accessing curated data and sophisticated algorithms.

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品質與安全性

B
說明品質
100%
結構描述完整度
100%
命名品質
50%
汙染風險
80%
權限相符程度
100%
協定合規性
100%

發現項目(5)

  • HIGHTool description contains imperative instruction在 WolframLanguageEvaluator 中
  • HIGHTool poisoning patterns detected
  • LOWTool 'WolframContext' doesn't follow camelCase/snake_case在 WolframContext 中
  • LOWTool 'WolframLanguageEvaluator' doesn't follow camelCase/snake_case在 WolframLanguageEvaluator 中
  • LOWTool 'WolframAlpha' doesn't follow camelCase/snake_case在 WolframAlpha 中

根據工具定義與協定合規性的自動化分析。

上下文成本

~509Token(工具定義)
~534 B典型回應大小
極小的注意力影響(128k 上下文的 0.40%)

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": {
    "mcp": {
      "url": "https://agenttools.wolfram.com/mcp"
    }
  }
}

遠端端點

https://agenttools.wolfram.com/mcpstreamable-http

它能做什麼

工具清單

工具(3)

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢WolframContext(context)

Uses semantic search to retrieve any relevant information from Wolfram. Always use this tool at the start of new conversations or if the topic changes to ensure you have up-to-date relevant information. This uses semantic search, so the context argument should be written in natural language (not a search query) and contain as much detail as possible (up to 250 words).

輸入結構描述

{
  "type": "object",
  "properties": {
    "context": {
      "type": "string",
      "description": "A detailed summary of what the user is trying to achieve or learn about."
    }
  },
  "required": [
    "context"
  ]
}
🟢WolframLanguageEvaluator(code, timeConstraint)

Evaluates Wolfram Language code for the user in a Wolfram Language kernel. If a formatted result is provided as a markdown link, use that in your response instead of typing out the output. Parse natural language input with `\[FreeformPrompt]["query"]`, which is analogous to ctrl+= input in notebooks. Natural language input is parsed before evaluation, so it works like macro expansion. You should ALWAYS use this natural language input to obtain things like `Quantity`, `DateObject`, `Entity`, etc. This is a stateless kernel, so you cannot reuse definitions from previous evaluations.

輸入結構描述

{
  "type": "object",
  "properties": {
    "code": {
      "type": "string",
      "description": "The Wolfram Language code to evaluate."
    },
    "timeConstraint": {
      "type": "number",
      "description": "The time constraint for the evaluation (default is 60 seconds)."
    }
  },
  "required": [
    "code"
  ]
}
🟢WolframAlpha(query)

Use natural language queries with Wolfram|Alpha to get up-to-date computational results about entities in chemistry, physics, geography, history, art, astronomy, and more.

輸入結構描述

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Wolfram Alpha query"
    }
  },
  "required": [
    "query"
  ]
}

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已驗證未記錄版本3 個工具
已驗證未記錄版本3 個工具