Kamiwaza Model Context Protocol for Private Models – Inferencing and Data Within the Enterprise

In this segment, we demonstrated how MCP (Model Context Protocol) enables enterprises to integrate and manage private models and agents through Kamiwaza. The presentation showcased a simple chat interface capable of handling complex tasks, such as interacting with GitHub to review and fix code. This was achieved through the open-source Model Context Protocol (MCP) and accompanying tools, all of which are designed to simplify the integration of private AI models into existing workflows. The demo highlighted the platform’s ability to bridge the gap between AI innovation and practical enterprise solutions.

A key element of the demonstration involved an agent with a defined persona that could execute a series of tasks based on simple instructions. These tasks included cloning a repository, copying files, analyzing code, debugging, and committing changes, all within a private and controlled environment. This demonstrated the power of MCP in enabling more complex agent interactions while maintaining control and security. The presenters also emphasized the open-source nature of both the front-end application and the back-end server, fostering community contributions and broader adoption of the technology.

The presentation further showcased Kamiwaza’s broader strategy, encompassing both highly customized, enterprise-specific applications and simpler, more general-purpose tools like chatbots and research assistants. The platform aims to simplify the deployment and management of these tools, integrating them with existing data and infrastructure. Kamiwaza plans to release open-source ports of several useful applications to further encourage adoption and collaboration within the community. A significant portion of the presentation also focused on the platform’s potential to replace traditional RPA systems, providing a more flexible, cost-effective, and ultimately more powerful solution for automating enterprise processes.