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Enables Large Language Models to securely execute Wolfram Language code in a session-based environment.

About

This project provides a Model Context Protocol (MCP) server designed to bridge Large Language Models (LLMs) with a Wolfram Mathematica kernel. It facilitates the secure and session-based execution of Wolfram Language code by LLMs, allowing them to leverage Mathematica's powerful computational capabilities. Unique animal-based identifiers are used for sessions, enhancing reliability by mitigating common LLM transcription errors with standard UUIDs.

Key Features

  • 1 GitHub stars
  • Utilizes animal-based IDs for improved LLM reliability
  • Terminates sessions and releases resources
  • Initializes new Wolfram Language sessions
  • Executes Wolfram Language code within specified sessions
  • Provides secure, session-based code execution

Use Cases

  • Creating secure and isolated execution environments for LLM-generated code
  • Integrating Wolfram Mathematica capabilities into MCP-compatible clients like Claude for Desktop
  • Empowering Large Language Models to perform complex Wolfram Language computations
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