OpenShift (and its UI) integration with the Loki Model Context Protocol server

• Integrate the OpenShift Logging stack with the Loki Model Context Protocol server to allow the end-user to interact with Loki (e.g. running queries)  through natural language conversations using the model of their choice (referenced by API_URL and API_KEY).

•  Integration of an MCP client into the OpenShift UI, either by adopting an existing implementation or by developing a native one, to allow conversational interactions with MCP servers (e.g., Loki) directly within the console (improving the UX).

• Evaluate the integration of a tiny LLM (e.g., Qwen3-0.6B) for customers who do not have any LLM to leverage on.

What is the nature and description of the request?

The request is to enhance OpenShift Logging and the OpenShift Console by integrating with a Loki Model Context Protocol (MCP) server. This integration would allow users to interact with Loki logs through natural language queries, using an AI model of their choice (referenced by API_URL and API_KEY). Instead of writing LogQL manually, users would be able to ask questions in natural language, and the system would automatically generate and execute the appropriate LogQL queries.

Why does the customer need this? (List the business requirements)

• To simplify log exploration: enable users to query logs without prior knowledge of LogQL.

• Enhance user experience in OpenShift Console: Provide a modern, conversational interface for log interaction directly in the platform UI.

List any affected packages or components.

• OpenShift Console

• OpenShift LokiStack