Wolfram Alpha MCP server

The MCP Wolfram Alpha server allows you to integrate Wolfram Alpha's computational knowledge engine into chat applications. It implements the Model Context Protocol (MCP) to connect language models with Wolfram Alpha's powerful querying capabilities, enabling advanced math, science, and data lookups in conversational interfaces.

Installation

Prerequisites

Before installing, you'll need:

• Python 3.x
• A Wolfram Alpha API key
• (Optional) Google Gemini API key if using the client example

Setup Instructions

First, clone the repository and navigate to the project directory:

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

Next, create a .env file in the project root with your API credentials:

WOLFRAM_API_KEY=your_wolframalpha_appid
GeminiAPI=your_google_gemini_api_key  # Optional for client usage

Install the required dependencies:

pip install -r requirements.txt

Configuration

VSCode MCP Server Setup

To use with VSCode MCP Server:

1. Create a configuration file at .vscode/mcp.json in your project root
2. Use the example provided in configs/vscode_mcp.json as a template
3. Configure the paths to point to your server installation

Claude Desktop Setup

For Claude Desktop, add the following configuration:

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

Usage

Running with Gradio UI

For a visual interface that connects Google AI with the Wolfram Alpha server:

python main.py --ui

You can also run the UI in a Docker container:

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

Running as CLI Tool

To use the client directly from the command line:

python main.py

Or via Docker:

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

Features

The MCP Wolfram Alpha server provides:

• Computational Knowledge: Access to Wolfram Alpha's math, science, and data capabilities
• Modular Design: Easily extendable architecture for additional functionality
• Multi-Client Support: Handles multiple simultaneous client connections
• Web Interface: Optional Gradio UI for visual interaction
• LLM Integration: Example client using Google's Gemini model via LangChain

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