Klavis AI – The production-ready MCP integration platform for AI agents 🚀

🧠 What is Klavis AI?

Klavis AI is an open-source infrastructure platform (Y Combinator X25) that enables AI agents to reliably use external tools and services at scale – via the Model Context Protocol (MCP). Founded by ex-Google-DeepMind and ex-Lyft engineers, Klavis offers over 100 production-ready MCP servers with enterprise OAuth support for GitHub, Slack, Gmail, Salesforce, Linear, Notion, and more.

The platform eliminates the complexity of setting up MCP servers through hosted, production-ready solutions with built-in authentication and security systems.

🔍 Features & Benefits

• 🧩 Strata – Intelligent Connectors – The flagship product solves the tool overload problem through progressive discovery, gradually revealing categories, actions, and specifications. Result: +13% higher accuracy and 83%+ success rate for complex workflows.

• 🔌 100+ Prebuilt Integrations – Ready-to-use connections to GitHub, Slack, Discord, YouTube, Jira, Gmail, Salesforce, and more – all with OAuth support for secure authentication without custom implementation.

• ⚙️ Flexible Deployment Options – Cloud hosting via klavis.ai, self-hosting with Docker, Python/TypeScript SDKs, or REST API for maximum flexibility depending on requirements.

• 🏢 Multi-Tenancy & Enterprise-Ready – Built-in authentication, access control, multi-tenancy, and enterprise security guardrails. Suitable for organizations with strict compliance requirements.

• 🤖 MCP Sandbox – Scalable MCP environments for LLM training and reinforcement learning – ideal for leading AI labs looking to simulate real agent interactions.

🌍 Vision & Values

Klavis AI aims to make MCP accessible to everyone – from individual developers to large enterprises. The platform is fully open source under the Apache-2.0 license, guaranteeing transparency, community trust, and the option for self-hosting 💡.

Through tight integration with OpenAI, Claude, Gemini, LangChain, LlamaIndex, and CrewAI, Klavis positions itself as a universal bridge between AI models and the digital world of tools and services.

🔧 Use Cases

• Build AI agents that securely interact with external services like email, calendar, and spreadsheets

• Encapsulate backend capabilities as MCP tools for conversational assistants and automations

• Summarize YouTube videos, analyze documents, and extract web content

• Send emails, create Slack posts, add calendar appointments, and manage contacts

• Create tickets in Jira, update Notion pages, and manage Asana tasks

📝 Brief Technical Details & Special Features

• Open Source under Apache-2.0 license, actively maintained

• Python and TypeScript SDKs and REST API available

• Support for OpenAI, Claude, Gemini, LangChain, LlamaIndex, CrewAI

• Strata architecture for progressive tool discovery reduces context window load

• Enterprise features: On-premise hosting, data protection compliance, OAuth server-side management