Klavis AI Reviews & Product Details

Klavis AI (YC X25) is an open-source Model Context Protocol (MCP) integration platform that enables AI agents and Large Language Models (LLMs) to reliably use tools and connect to external services at enterprise scale. Our infrastructure eliminates the complexity of building AI agent integrations by providing hosted, secure MCP servers with built-in OAuth authentication and multi-tenancy support—no client-side code development required. With production-ready MCP server integrations including GitHub, Slack, Gmail, Salesforce, Notion, HubSpot, Klavis AI empowers developers to build AI applications that seamlessly connect to enterprise tools in minutes. Strata, our flagship unified MCP server, solves the critical "tool overload" problem in AI applications through progressive discovery—guiding AI agents through thousands of tools intelligently rather than overwhelming them, achieving 13%+ higher success rates on benchmarks and 83%+ accuracy on complex multi-app workflows. Founded by ex-Google DeepMind and Lyft engineers, Klavis AI brings enterprise-grade reliability to AI agent tool integration through our API-first platform, supporting Python and TypeScript SDKs, REST APIs, and Docker deployments. Whether you're building AI chatbots, IDE assistants, automation agents, or agentic workflows, Klavis AI provides the infrastructure layer that makes AI agents production-ready. Key Features: Open-source MCP infrastructure. enterprise MCP server integrations with OAuth support Strata unified MCP server for progressive tool discovery Multi-tenancy authentication and user-based access controls Hosted cloud infrastructure and on-premise deployment options Python & TypeScript SDKs, REST API, and Docker support Advanced security guardrails for enterprise compliance SOC2 type 2 and GDPR compliant Compatible with Claude, Cursor, VSCode, LlamaIndex, CrewAI, and other AI platforms Use Cases: AI agent development, LLM tool integration, enterprise AI automation, agentic workflows, AI-powered chatbots, intelligent IDE assistants, developer productivity tools, AI application infrastructure