Viper FAQs

Question 1

Is an OpenAI API key required to use Viper?

Accepted Answer

Yes, an OpenAI API key is necessary for Viper to function. It can be provided through environment variables, a specified file path, or as an HTTP query parameter.

Question 2

What is Viper and its primary purpose?

Accepted Answer

Viper (ViperMCP) is a mixture-of-experts (MoE) visual question-answering (VQA) server designed to solve complex visual grounding, compositional, and external knowledge-dependent image Q&A tasks.

Question 3

What types of visual tasks can Viper specifically address?

Accepted Answer

Viper is engineered to handle three key task areas: visual grounding, compositional image question answering, and external knowledge-dependent image question answering.

Question 4

What underlying models does Viper leverage?

Accepted Answer

Viper utilizes a diverse set of models, including Grounding DINO, SegmentAnything (SAM), GPT-4o-mini (LLM & VLM), GPT-4.1, X-VLM, Midas, and BERT, among others.

Question 5

How does Viper integrate with other platforms and APIs?

Accepted Answer

Viper is built as a FastMCP streamable-HTTP server, ensuring compatibility with FastMCP client tooling. It also integrates seamlessly with the OpenAI API for enhanced language understanding.

Viper

Viper

Key Features

Use Cases

Key Features

Use Cases