Klavis AI
MCP infrastructure for AI to use tools reliably at any scale.
Technology
How Klavis AI’s technology works — architecture, AI models, and technical capabilities.
How does Klavis AI work?
Klavis AI operates by providing live environments for training AI agents, utilizing the Model Context Protocol (MCP) to create ultra-realistic scenarios. This allows for complex, long-horizon workflows that mirror real-world applications, enabling agents to learn effectively in controlled settings.
What technology powers Klavis AI?
Klavis AI is powered by the Model Context Protocol (MCP), which facilitates seamless integration of AI models with external tools and services. This technology supports the creation of live environments that enhance the training and evaluation of AI agents.
What are Klavis AI's main features?
Klavis AI's main features include fully managed live MCP sandbox environments, support for over 1,000 concurrent runs, and the ability to train AI agents on complex workflows. These features enable developers to focus on building better models without infrastructure headaches.
What type of AI does Klavis AI use?
Klavis AI utilizes agentic AI, which is designed to perform complex tasks and tool use in realistic environments. This type of AI is enhanced by the MCP, allowing for effective training and evaluation of AI agents in various applications.
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