Wolfram Alpha MCP server

The MCP Wolfram Alpha server enables seamless integration of Wolfram Alpha's computational knowledge into chat applications. This implementation follows the Model Context Protocol (MCP) standard, allowing chat-based applications to perform computational queries and retrieve structured knowledge for enhanced conversational capabilities.

Installation

Prerequisites

Before installing the MCP Wolfram Alpha server, ensure you have:

• Python installed
• A Wolfram Alpha API key (obtain from the Wolfram Alpha Developer Portal)
• Git installed (for cloning the repository)

Setup Instructions

1. Clone the repository

   git clone https://github.com/ricocf/mcp-wolframalpha.git
   cd mcp-wolframalpha
   

2. Configure environment variables

   Create a .env file in the project root directory with the following content:

   WOLFRAM_API_KEY=your_wolframalpha_appid
   GeminiAPI=your_google_gemini_api_key  # Optional for client usage
   

3. Install dependencies

   Using pip:

   pip install -r requirements.txt
   

   Or using uv (recommended):

   uv sync
   

Configuration

VSCode MCP Server Configuration

To use with the VSCode MCP Server:

1. Create a configuration file at .vscode/mcp.json in your project root
2. Use the example in configs/vscode_mcp.json as a template
3. For more details, refer to the VSCode MCP Server Guide

Claude Desktop Configuration

Add the following to your Claude Desktop configuration:

{
  "mcpServers": {
    "WolframAlphaServer": {
      "command": "python3",
      "args": [
        "/path/to/src/core/server.py"
      ]
    }
  }
}

Client Usage

Using the Gradio UI

The project includes a user-friendly web interface built with Gradio:

1. Run the UI:

   python main.py --ui
   

2. Docker alternative:

   docker build -t wolframalphaui -f .devops/ui.Dockerfile .
   docker run wolframalphaui
   

The UI provides:

• Options to switch between Wolfram Alpha and Google AI (Gemini)
• Query history tracking
• Intuitive chat interface

Using the CLI Tool

For command-line usage:

1. Run the CLI client:

   python main.py
   

2. Docker alternative:

   docker build -t wolframalpha -f .devops/llm.Dockerfile .
   docker run -it wolframalpha
   

Features

• Wolfram|Alpha Integration for math, science, and data queries
• Modular Architecture easily extendable to support additional APIs
• Multi-Client Support to handle interactions from multiple clients
• MCP-Client example using Gemini (via LangChain)
• UI Support with Gradio for a user-friendly web interface

How to install this MCP server

For Claude Code

To add this MCP server to Claude Code, run this command in your terminal:

claude mcp add-json "WolframAlphaServer" '{"command":"python3","args":["/path/to/src/core/server.py"]}'

See the official Claude Code MCP documentation for more details.

For Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > Tools & Integrations and click "New MCP Server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

{
    "mcpServers": {
        "WolframAlphaServer": {
            "command": "python3",
            "args": [
                "/path/to/src/core/server.py"
            ]
        }
    }
}

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explicitly ask the agent to use the tool by mentioning the tool name and describing what the function does.

For Claude Desktop

To add this MCP server to Claude Desktop:

1. Find your configuration file:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json
• Linux: ~/.config/Claude/claude_desktop_config.json

2. Add this to your configuration file:

{
    "mcpServers": {
        "WolframAlphaServer": {
            "command": "python3",
            "args": [
                "/path/to/src/core/server.py"
            ]
        }
    }
}

3. Restart Claude Desktop for the changes to take effect