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An MCP Server for WolframAlpha's LLM API, able to return structured knowledge & solve math

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WolframAlpha LLM MCP Server

WolframAlpha LLM MCP Logo

A Model Context Protocol (MCP) server that provides access to WolframAlpha's LLM API. https://products.wolframalpha.com/llm-api/documentation

WolframAlpha MCP Server Example 1

WolframAlpha MCP Server Example 2

Features

  • Query WolframAlpha's LLM API with natural language questions
  • Answer complicated mathematical questions
  • Query facts about science, physics, history, geography, and more
  • Get structured responses optimized for LLM consumption
  • Support for simplified answers and detailed responses with sections

Available Tools

  • ask_llm: Ask WolframAlpha a question and get a structured llm-friendly response
  • get_simple_answer: Get a simplified answer
  • validate_key: Validate the WolframAlpha API key

Installation

git clone https://github.com/Garoth/wolframalpha-llm-mcp.git
npm install

Configuration

  1. Get your WolframAlpha API key from developer.wolframalpha.com

  2. Add it to your Cline MCP settings file inside VSCode's settings (ex. ~/.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"
      ]
    }
  }
}

Development

Setting Up Tests

The tests use real API calls to ensure accurate responses. To run the tests:

  1. Copy the example environment file:

    cp .env.example .env
  2. Edit .env and add your WolframAlpha API key:

    WOLFRAM_LLM_APP_ID=your-api-key-here
    

    Note: The .env file is gitignored to prevent committing sensitive information.

  3. Run the tests:

    npm test

Building

npm run build

License

MIT

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An MCP Server for WolframAlpha's LLM API, able to return structured knowledge & solve math

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