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WolframAlpha LLM MCP Server

WolframAlpha LLM MCP Server

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github.com/GarothAI & Agents55Updated 87w ago

About WolframAlpha LLM MCP Server

WolframAlpha LLM MCP Server is an MCP server that provides access to the WolframAlpha LLM API. It targets AI applications that need structured knowledge or mathematical answers formatted for LLM use.

Key features

  1. 01Natural language questions with structured answers
  2. 02Simplified answers or detailed sectioned responses
  3. 03ask_llm and get_simple_answer tools
  4. 04validate_key tool for API key checks

Use cases

  1. 01Solving complicated math questions from an AI assistant
  2. 02Looking up facts in science, history and geography

MCP support

This project is an MCP server that exposes ask_llm, get_simple_answer and validate_key tools to MCP clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

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

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.