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qualityFacilitates executing system commands and retrieving web data using the Brave Search API by interpreting user intents via a Large Language Model (LLM).
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Python
提供对 WolframAlpha 的 LLM API 访问的模型上下文协议 (MCP) 服务器。https ://products.wolframalpha.com/llm-api/documentation
ask_llm
:向 WolframAlpha 提问并获得结构化的 llm 友好回复get_simple_answer
:获取简化答案validate_key
WolframAlpha API 密钥测试使用真实的 API 调用来确保响应准确。运行测试的步骤如下:
.env
并添加您的 WolframAlpha API 密钥:.env
文件被 gitignored 以防止提交敏感信息。麻省理工学院
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remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
支持查询 WolframAlpha 的 LLM API 以获取自然语言问题,提供针对 LLM 使用优化的结构化和简化的答案。
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/Garoth/wolframalpha-llm-mcp'
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