Klavis AI provides Model Context Protocol (MCP) infrastructure that enables reliable tool usage for AI models at scale. The platform offers fully managed sandbox environments for LLM training and evaluation, handling state initialization and teardown. For application builders, it delivers production-ready MCP servers with enterprise-grade OAuth handling for hundreds of popular SaaS integrations.
Funding
Funding not disclosed
Founders
Product
Problem
Integrating external tools into AI applications typically requires complex, pre-configured setups and manual data formatting for each model. This process is time-consuming and limits the dynamic adaptability of AI agents, hindering their ability to leverage diverse functionalities at runtime.
Solution
Klavis AI provides an open-source infrastructure that simplifies the integration of Model Context Protocols (MCPs) into AI applications. The platform offers hosted MCP servers and client libraries, enabling dynamic, standardized tool connections for AI agents without requiring extensive pre-configuration. This approach streamlines the development lifecycle, allowing for rapid integration and scaling of AI functionalities. Klavis AI also manages authentication and provides secure, reliable hosting for MCP servers, abstracting away the underlying complexity for developers.
Target Audience
The primary customers are AI developers and organizations building AI applications and agents who need to integrate external tools dynamically and at scale.
Features
- Open-source infrastructure for seamless Model Context Protocol (MCP) integration into AI applications.
- Hosted MCP servers and client libraries for dynamic, runtime tool connections.
- Support for popular and in-house MCPs, including tools for report generation, YouTube utilities, and document conversion.
- Streamlined integration via TypeScript and Python MCP servers supporting streamable HTTP standards for efficient, serverless communications.
- Secure OAuth and user-based authentication for managing user resources within MCP integrations.
- White-label OAuth support for customizable authentication experiences.
- Direct access to MCPs within communication platforms like Slack and Discord via dedicated clients.
- Standardized RESTful API for interacting with MCP servers, abstracting implementation details.