Wolfram Alpha

Connect your chat repl to wolfram alpha computational intelligence

python

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GitHub Stars

python

Language

6 months ago

First Indexed

2 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

{
  "mcpServers": {
    "secretiveshell-mcp-wolfram-alpha": {
      "command": "uv",
      "args": [
        "--directory",
        "C:\\Users\\root\\Documents\\MCP-wolfram-alpha",
        "run",
        "MCP-wolfram-alpha"
      ],
      "env": {
        "WOLFRAM_API_KEY": "your-app-id"
      }
    }
  }
}

You run an MCP server that connects to the Wolfram Alpha API, allowing you to query Wolfram results directly through your MCP client. This server handles API key configuration and launches the Wolfram query workflow when requested by clients.

How to use

Connect with your MCP client and select the wolfram_alpha MCP server. When you send a query via your client, the server will route it to Wolfram Alpha and return the results. You can prompt it with a question, and the server will process the request through the Wolfram API key you configured.

How to install

Prerequisites you need before starting:

Ensure the MCP runtime is available on your system (the runtime used here is UV). If you do not already have it, install or set up the MCP runtime according to your environment.

Create a configuration file for the MCP server with the Wolfram Alpha API key. You will supply your API key as an environment variable named WOLFRAM_API_KEY.

Place the configuration in a file named config.json in the same directory where you will run the MCP server. The following snippet mirrors the required structure and values:

{
  "mcpServers": {
    "MCP-wolfram-alpha": {
      "command": "uv",
      "args": [
        "--directory",
        "C:\\Users\\root\\Documents\\MCP-wolfram-alpha",
        "run",
        "MCP-wolfram-alpha"
      ],
      "env": {
        "WOLFRAM_API_KEY": "your-app-id"
      }
    }
  }
}

Additional steps to start

Once the configuration file is prepared, start the MCP server using the MCP CLI inspector if you have it installed. Run the following command in the directory containing your config.json and the server code:

npx @wong2/mcp-cli -c .\config.json

Available tools

wa

Prompts tool that formats a query to use Wolfram Alpha for answering the given question.

query_wolfram_alpha

Tool that queries the Wolfram Alpha API and returns the response as a string.