WolframAlpha LLM MCP Server
WolframAlpha LLM MCP 服务器
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
特征
使用自然语言问题查询 WolframAlpha 的 LLM API
回答复杂的数学问题
查询有关科学、物理、历史、地理等的事实
获取针对 LLM 消费优化的结构化响应
支持简化答案和分部分的详细回复
Related MCP server: Wolfram Alpha MCP Server
可用工具
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_keyWolframAlpha API 密钥
安装
git clone https://github.com/Garoth/wolframalpha-llm-mcp.git
npm install配置
从developer.wolframalpha.com获取您的WolframAlpha API密钥
将其添加到 VSCode 设置中的 Cline MCP 设置文件中(例如 ~/.config/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json):
{
"mcpServers": {
"wolframalpha": {
"command": "node",
"args": ["/path/to/wolframalpha-mcp-server/build/index.js"],
"env": {
"WOLFRAM_LLM_APP_ID": "your-api-key-here"
},
"disabled": false,
"autoApprove": [
"ask_llm",
"get_simple_answer",
"validate_key"
]
}
}
}发展
设置测试
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:
复制示例环境文件:
cp .env.example .env编辑
.env并添加您的 WolframAlpha API 密钥:WOLFRAM_LLM_APP_ID=your-api-key-here注意:
.env文件被 gitignored 以防止提交敏感信息。运行测试:
npm test
建筑
npm run build执照
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Related MCP Servers
- FlicenseAqualityDmaintenanceAllows LLMs to execute Wolfram Language code in a secure, session-based environment by providing an interface to interact with a Wolfram Mathematica kernel.33
- FlicenseNot gradedqualityDmaintenanceEnables users to query Wolfram Alpha's computational knowledge engine through natural language. Provides access to mathematical computations, scientific data, and factual information via the Wolfram Alpha API.
- AlicenseNot gradedqualityDmaintenanceEnables scientific computing, mathematical problem solving, and step-by-step mathematical solutions through Wolfram Alpha's mobile API. Supports real-time streaming responses and multiple output formats for enhanced mathematical and scientific queries.1MIT
- FlicenseAqualityDmaintenanceProvides access to Wolfram Alpha's computational knowledge engine for mathematical calculations, scientific computing, data analysis, and factual information through natural language queries.26
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