Klavis AI

Klavis AI is an open-source infrastructure for integrating Model Context Protocols (MCP) into AI applications, enabling seamless deployment of AI workflows across multiple platforms. It provides production-ready MCP servers for tasks such as automated web research, document conversion, GitHub repository management, Slack/Discord integration, and dynamic report generation, allowing developers to extend AI capabilities through dedicated service modules.

The platform offers multi-channel support for deploying AI assistants on Slack, Discord, and web interfaces, with modular architecture that separates server-side tools from client applications. Key functionalities include web crawling and content analysis via Firecrawl integration, cross-format document processing, and customizable workflows for data-driven operations. Developers can extend its capabilities by creating new MCP server modules for specialized tasks or connecting additional client platforms through standardized protocols.

Built for reliability, Klavis ensures stable connections through dedicated infrastructure and includes pre-configured tools for email services, database management, and real-time collaboration. Its architecture emphasizes flexibility, enabling teams to implement custom AI solutions while maintaining interoperability between enterprise systems and modern communication platforms.

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Website: klavis.ai

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