Karini AI is proud to announce upcoming support for the Model Context Protocol (MCP) in our Agent 2.0 workflows. This will revolutionize how enterprises connect their data with advanced Gen AI systems.
In today's rapidly evolving AI landscape, from next-generation chipsets to sophisticated thinking models and diverse agentic frameworks, keeping production systems current presents significant challenges. Traditional implementations require substantial engineering resources for updates, creating barriers to adoption.
Anthropic's Model Context Protocol (MCP), now embraced by Amazon Bedrock and OpenAI, functions as the "USB-C for LLMs," seamlessly connecting previously siloed data systems with language models. This protocol aligns perfectly with Karini AI's existing agentic architecture, which already offers:
- Drag-and-drop workflow construction for multi-agent systems
- Built-in memory management, resiliency, and scalability
- Enterprise data integration through numerous connectors
- Custom tool integration via AWS Lambda
Our forthcoming MCP integration will allow customers to:
- Toggle existing workflows into MCP mode for enhanced enterprise data access
- Create new agentic workflows with streamlined, more efficient tool calling
- Maintain complete security boundary and scalability across data sources
- Utilize task-specific LLMs from multiple vendors
- Access all Karini Agentic tools within MCP mode without modifications
At Karini AI, we remain committed to future-proofing your Gen AI applications and accelerating enterprise Generative AI adoption regardless of technological disruptions.
Stay tuned for our official launch announcement coming soon.
