Random Number
Provides language models with essential random number and token generation capabilities.
About
Random Number is a production-ready Model Context Protocol (MCP) server designed to equip large language models (LLMs) with comprehensive random generation abilities. Built entirely on Python's standard library, it offers both standard pseudorandom functions for simulations, games, and general use, as well as cryptographically secure functions for generating robust tokens and integers. This tool seamlessly integrates into LLM environments like Claude Desktop, expanding their functional toolkit with reliable and diverse random data generation.
Key Features
- Designed as a production-ready MCP server for seamless LLM integration.
- Creates cryptographically secure hex tokens and integers.
- Generates standard pseudorandom numbers (integers, floats, choices, shuffles).
- Leverages Python's `random` and `secrets` modules for varied security requirements.
- Built solely on Python's standard library, ensuring minimal dependencies.
- 3 GitHub stars
Use Cases
- Generating secure identifiers or tokens within LLM-driven applications.
- Equipping LLMs with random data for creative writing, simulations, or game logic.
- Integrating diverse random number generation capabilities into AI assistants or agents.
Sponsored