Cross-LLM

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Cross-LLM is a Model Context Protocol (MCP) server designed to streamline interaction with various Large Language Models. It acts as a central hub, allowing users to call individual LLMs like ChatGPT, Claude, and DeepSeek, or simultaneously query all integrated models for combined responses. This facilitates diverse use cases such as multi-perspective analysis, model comparison, and enhanced reliability by leveraging multiple AI providers through a single, standardized interface.

Características Principales

• Dynamic selection of LLM provider via a single tool
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• Simultaneous querying of all integrated LLMs for combined responses
• Configurable model, temperature, and token limits for each LLM call
• Detailed output including model information and token usage statistics
• Dedicated tools for individual LLM interaction (ChatGPT, Claude, DeepSeek)

Casos de Uso

• Compare the strengths and weaknesses of various LLMs for specific tasks or outputs.
• Enhance reliability and introduce redundancy by leveraging multiple LLM providers.
• Perform multi-perspective analysis by comparing responses from different LLMs on the same prompt.