What is Model Context Protocol (MCP) and how does Klavis AI support it?
MCP enables tools to be dynamically added to AI applications at runtime in a standardized way, eliminating the need for preconfigured integrations. Klavis AI builds open-source infrastructure to make MCP easy to use, build, and scale, providing clients, hosted servers, and a web UI.
What kind of environments does Klavis AI provide for agent training?
Klavis AI offers live, managed sandbox environments with full environment fidelity, seeded state data, and parallel isolation. These are designed for training and evaluating AI agents on realistic, long-horizon tasks across various applications like browsers, code repos, and SaaS tools.
Does Klavis AI offer different pricing plans?
Yes, Klavis AI provides tiered plans. These start with a free option for basic usage and scale up to paid Pro and Enterprise plans. These higher tiers offer progressively more server access, enhanced client features, and dedicated support for professional and business needs.
How does Klavis AI ensure security for integrations?
Klavis AI includes security features as part of its solution, specifically offering Secure Integration with built-in OAuth support. This is designed to enable secure access to user resources when required by an MCP, ensuring data protection and compliance.
Can I integrate Klavis AI with my existing AI platform or tools?
Yes, Klavis AI is designed for integration with various AI platforms and tools. It provides a standardized RESTful API to interact with MCP servers, allowing developers to easily integrate MCP functionality into their applications with simple API calls.