mcp
Integrates Wolfram Language and Wolfram|Alpha accessing curated data and sophisticated algorithms.
我該用這個嗎
品質與安全性
發現項目(5)
- HIGH在 WolframLanguageEvaluator 中
- HIGH
- LOW在 WolframContext 中
- LOW在 WolframLanguageEvaluator 中
- LOW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
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)
🟢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"
]
}社群
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