Wildcard

关于

Large Language Models often default to predictable responses, even when attempting to generate "random" data. Wildcard addresses this by acting as an MCP server that provides genuine randomness. It enables users to define categories with custom lists of items (like names, colors, or adjectives), from which LLMs can then truly randomize selections. This unique approach helps unlock novel and unexplored output pathways, enriching conversations and preventing repetitious or overly common results in LLM-generated content.

主要功能

• Injects true randomness into LLM outputs using user-defined data.
• Configurable categories for dynamic content selection.
• Seamless deployment with Docker and Docker Compose.
• Flexible configuration via TOML file and environment variables.
• 0 GitHub stars
• Supports `randomize` function for pulling unique items from lists.

使用案例

• Prevent LLMs from defaulting to common or repetitive outputs.
• Explore a wider range of creative or data-driven responses from language models.
• Generate truly diverse and unpredictable names, colors, or other categorical data in LLM conversations.