WolframAlpha LLM MCP Server

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WolframAlpha LLM MCP Server

<img src="assets/wolfram-llm-logo.png" width="256" alt="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

<div> <img src="assets/readme-screen-1.png" width="609" alt="WolframAlpha MCP Server Example 1" /><br/><br/> <img src="assets/readme-screen-2.png" width="609" alt="WolframAlpha MCP Server Example 2" /> </div>

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

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

Copy the example environment file:
cp .env.example .env
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.
Run the tests:
npm test

Building

npm run build

License

MIT

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Enables querying WolframAlpha's LLM API for natural language questions, providing structured and simplified answers optimized for LLM consumption.