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io.github.lars20070/mathematica-mcp

MCP server for WolframScript

Developer ToolsPythonv0.1.11

Mathematica MCP Server

codecov Build Python Version License PyPI version

MCP server that wraps Mathematica's wolframscript command-line interface. It provides tools to evaluate Wolfram Language code and retrieve information about the Wolfram Engine installation.

ToolDescription
evaluateEvaluates a Wolfram Language script
version_wolframscriptReturns version of wolframscript
version_wolframengineReturns version of Wolfram Engine
licensetypeReturns license type of Wolfram Engine

Background

  • Wolfram Language: symbolic programming language e.g. Integrate[x*Sin[x], x]
  • Wolfram Engine: kernel for running Wolfram Language code
  • WolframScript: command-line interface to Wolfram Engine
  • Mathematica: notebook interface to Wolfram Engine

Both Wolfram Engine and WolframScript are freely available for personal use.

Installation

  1. Please ensure WolframScript is installed and activated on your system.
wolframscript -version
wolframscript -activate
wolframscript -code "Integrate[x*Sin[x], x]"
  1. Install the uv package manager.
curl -LsSf https://astral.sh/uv/install.sh | sh
  1. Edit the Claude Desktop config file and add the mathematica-mcp server. Note that uvx sets up an environment, installs the mathematica-mcp package, and runs the server by calling the mathematica-mcp entry point defined in pyproject.toml. No cloning of the repository is necessary. The logs are written to the default user log directory, e.g. ~/Library/Logs/mathematica_mcp/mathematica_mcp.log on macOS.
{
  "mcpServers": {
    "mathematica-mcp": {
      "command": "uvx",
      "args": [
        "mathematica-mcp"
      ]
    }
  }
}

Claude Desktop config file on macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

  1. Alternatively, you can clone the repository and then modify or extend the MCP server code. In this case, make sure to update the path to the local repository in the Claude Desktop config file.
{
  "mcpServers": {
    "mathematica-mcp": {
      "command": "uv",
      "args": [
        "--directory",
        "/Users/lars/Code/mathematica-mcp",
        "run",
        "mathematica-mcp"
      ]
    }
  }
}

Claude Desktop config file on macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

Installation

Source-derived launch command. Check the maintainer’s required arguments and credentials before running:

bash
uvx mathematica_mcp

Set up in your AI client

Merge this template into ~/Library/Application Support/Claude/claude_desktop_config.json. Keep existing servers. Add any arguments, credentials, and permissions required by the maintainer; this template has not been install-tested.

json
{
  "mcpServers": {
    "io-github-lars20070-mathematica-mcp": {
      "command": "uvx",
      "args": [
        "mathematica_mcp"
      ]
    }
  }
}

Restart Claude Desktop completely for changes to take effect. Confirm the server appears connected in the client’s tool list, then try a read-only example from its documentation.

Claude Desktop setup reference

Package

mathematica_mcppypi

Compatible MCP Clients

io.github.lars20070/mathematica-mcp works with any MCP-compatible client. Copy the config snippet from the Configuration section above and add it to the file shown for your client, then restart the application.

  • Claude Desktop~/Library/Application Support/Claude/claude_desktop_config.jsonRestart Claude Desktop completely for changes to take effect.
  • Cursor~/.cursor/mcp.jsonRestart Cursor for changes to take effect.
  • VS Code.vscode/mcp.jsonReload VS Code window for changes to take effect.
  • Windsurf~/.codeium/windsurf/mcp_config.jsonRestart Windsurf for changes to take effect.
  • Claude Code.mcp.jsonSave at the project root, then start Claude Code in that project and review the MCP server approval prompt. Keep real credentials out of shared files.

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