Show HN: Kiso – Publish one OKF knowledge base for humans and AI agents (github.com)

Kiso has announced a new tool suite designed for managing and publishing knowledge bases in the Open Knowledge Format (OKF). This suite includes two main applications: kiso-cli, which validates OKF bundles and publishes them as static websites, and kiso-mcp-server, which enables access to the knowledge within these bundles via the Model Context Protocol (MCP). Users can run kiso-cli from the command line or integrate it into GitHub Actions for continuous updates, while the MCP server facilitates interaction between AI applications and the knowledge contained in the OKF bundles. This announcement is significant for the AI/ML community as it provides a structured framework for leveraging knowledge bases, enhancing the ability of AI agents to retrieve contextual information. Kiso's validation and publishing options streamline the process of creating accessible knowledge repositories, which can help improve AI training and performance. Technical features, such as the ability to validate Markdown files, generate previews, and set various publishing profiles without altering source content, allow for flexible use cases and seamless updates. Overall, Kiso represents a valuable resource for developers looking to enhance AI applications with reliable knowledge management tools.