Cross-LLM FAQs

Question 1

Can I query multiple LLMs simultaneously with Cross-LLM?

Accepted Answer

Yes, Cross-LLM features a `call-all-llms` tool that allows you to send the same prompt to ChatGPT, Claude, and DeepSeek concurrently, receiving combined responses with detailed usage statistics.

Question 2

How do I configure API keys for Cross-LLM?

Accepted Answer

You'll need to obtain individual API keys from OpenAI, Anthropic, and DeepSeek platforms. These keys are then configured in the `.env` file within your Cross-LLM project directory to enable access to each respective LLM.

Question 3

What is Cross-LLM?

Accepted Answer

Cross-LLM is a Model Context Protocol (MCP) server that provides a unified interface to access and combine responses from multiple Large Language Model (LLM) APIs, including ChatGPT, Claude, and DeepSeek, from any MCP-compatible client.

Question 4

Which Large Language Models does Cross-LLM support?

Accepted Answer

Cross-LLM currently supports OpenAI's ChatGPT, Anthropic's Claude, and DeepSeek AI models, allowing you to interact with their respective APIs using dedicated or combined tools.

Question 5

What are the main benefits of using Cross-LLM?

Accepted Answer

Key benefits include gaining multi-perspective analysis, enabling direct LLM comparison, enhancing system reliability through redundancy, optimizing costs by selecting the best-fit model for tasks, and improving quality assurance by cross-referencing.

Cross-LLM

Cross-LLM

Key Features

Use Cases

Key Features

Use Cases