Klavis AI recently launched!

‍

^{"The best way to get access to production-ready MCP servers at scale."}

‍

^{TL;DR: Klavis AI provides open source MCP integration for AI applications. Integrate enterprise-grade MCP servers with your AI application in a minute, and scale to millions of users using their open-source, hosted MCP servers with multi-tenancy auth, and skip MCP client-side development hassle.}

‍

Launch video: https://youtu.be/HFn5xWC6cAk

‍

Founded by Xiangkai Zeng & Zihao Lin

Xiangkai previously worked as a Senior Software Engineer on the Google Gemini at Google Deepmind. His work involves building the function calling infrastructure for Gemini and supporting multiple Gemini agentic feature launches. The challenges in the MCP space resonate strongly with his background, and he's very excited to bring his insights and energy to accelerate innovation here.

Zihao previously worked on Lyft’s Rider team and Nordstrom’s analytical data platform team, with expertise in scaling systems for millions of users and NLP background from University and Master studies.

‍

The Problem

• Missing Native Authentication & User-based Authentication: Lack of built-in and user-based authentications in MCP servers creates security risks and adds development complexity, hindering production use.
• Lack of Enterprise-Grade Servers: Available MCP servers are frequently underdeveloped personal projects, lacking stability, features, and remote capabilities essential for enterprise environments.
• Client-Side Connection Barrier: Accessing MCP servers requires developing the clients, creating technical overhead and hindering adoption, especially for existing function calling infrastructures that lack native MCP support.

‍

The Solution

‍

Klavis AI solves these problems by:

• Secure, Enterprise-Grade Hosted Servers: Launch stable, enterprise-grade MCP servers instantly via API. Their hosted solution includes built-in OAuth & multi-tenancy auth, eliminating security gaps and complexity.
• Skip Client Development Hassle: Use their API to connect any remote MCP servers from your existing backend, or let users interact immediately through their pre-built Web, Slack, and Discord clients.
• Trust Through Open Source: Their MCP servers and clients are open source, ensuring transparency and fostering community trust.

Concrete Example

Imagine you want your AI agent to interact with your company's Jira. Instead of building a custom Jira integration and wrestling with authentication, use Klavis AI. With simple API calls, you instantly get a secure, hosted Jira MCP server ready to go. It handles OAuth and user-level authentications automatically, letting your AI securely query tickets right away – no MCP client coding required.

‍

Learn More

^‍

^{🌐 Visit www.klavis.ai to learn more.}

^‍

^{🙏  Can you introduce us to companies working on AI agents and applications that need different external integrations? Contact us here.}

^‍

^{✨Give Klavis AI a star on Github.}

^‍

^{👣 Follow Klavis AI on LinkedIn.}