Klavis AI – An open-source MCP integration platform for rapid connection to production-grade MCP servers

What is Klavis AI?

Klavis AI is an open-source platform for integrating Multimodal Communication Protocol (MCP), designed to help AI applications quickly connect to production-grade MCP servers and clients. The platform offers a stable and reliable MCP server, supports integration with a wide range of tools, and provides customizable services. It features built-in authentication to ensure the security of both developers and end users. Klavis AI supports multiple client integrations, such as Slack, Discord, and Web clients, enabling seamless incorporation into daily workflows. The open-source infrastructure supports large-scale user expansion and provides hosted solutions to help users quickly create and manage MCP server instances.

Key Features of Klavis AI

• Reliable MCP Server: Offers production-grade MCP servers with 100% connection guarantees, running on dedicated infrastructure to ensure high availability and stability.

• Built-in Authentication: Includes secure, out-of-the-box identity verification features, supporting built-in OAuth flows and key management.

• Multi-Platform Client Integration: Supports integrations with clients including Slack, Discord, and Web applications.

• Extensive Tool Integration & Customization: Supports integration with over 100 tools, allowing users to tailor the MCP server to their specific needs.

• Hosted Solutions: Provides a managed service allowing users to quickly create MCP server instances via API, with built-in OAuth or custom token-based authentication.

Technical Foundations of Klavis AI

• Based on MCP Protocol: Built on the Multimodal Communication Protocol, which supports various communication types (text, voice, image, etc.), enabling seamless interaction across different devices and services.

• Distributed Architecture: Employs a distributed architecture, deploying MCP servers on dedicated infrastructure to ensure high availability and scalability for large-scale user access.

• Authentication & Authorization: Implements secure identity verification and access control through built-in OAuth flows and key management to protect user data and privacy.

• Client-Server Separation: Separates the client (user interface) and server (logic and storage), enhancing flexibility and maintainability.

• API-Driven Deployment: Offers API-based managed services, enabling users to automate the creation, management, and configuration of MCP server instances for streamlined deployment.

Project Links

• Official Website: https://www.klavis.ai/

• GitHub Repository: https://github.com/Klavis-AI/klavis

Application Scenarios of Klavis AI

• AI Development & Automation: Quickly integrate development tools like GitHub and Jira for code management, task assignment, and workflow automation.

• Data Processing & Analysis: Supports web scraping, document conversion, and database operations to aid data mining and analysis.

• Content Creation & Publishing: Generate professional reports, extract video insights, and create content in various formats.

• Customer Service & Support: Deliver instant customer support across platforms like Slack and Discord, and automate feedback handling.

• Enterprise Collaboration & Communication: Integrate with team collaboration tools to improve communication, project management, and task coordination.