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WolframAlpha LLM MCP Server

by Garoth

WolframAlpha LLM MCP Server

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

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

Install Server
A
security – no known vulnerabilities
F
license - not found
A
quality - confirmed to work

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.

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

  1. Features
    1. Available Tools
      1. Installation
        1. Configuration
          1. Development
            1. Setting Up Tests
            2. Building
          2. License

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