kubearchive-ai

# KubeArchive MCP Server This is the outcome of an MCP Server created with the help of Cursor AI providing https://github.com/kubearchive/kubearchive as part of the context. It successfully created 3 tools, one per endpoing: healthz, get_resources and get_logs. ### Usage I've experimented with the `get_resources` MCP Tool so far and I've seen that KubeArchive MCP server is probably not good enough to parse the KubeArchive API output. #### Example of Cursor AI interaction with Claude-4-sonnet and the KubeArchive MCP server: With a cluster locally deployed with kubearchive and several pods, jobs and a cronjob archived (particularly 31 pods) I've [this chat](how-many-pods-archived.md). To sum up, I wasn't able to get AI returns how many pods were archived by checking in the response given by KubeArchive API, which is a structured JSON, but it was able to successfully pipe the output with a `jq` call when I specifically asked for it. My guess is that this could be improved with other MCP servers for doing JSON parsing. ### Things to add It makes sense to add more MCP servers to the equation and see them all work together: * JSON parse * RAG with the kubearchive docs * Kubernetes MCP * KubeArchive MCP That will probably allow us to create an agent able to successfully parse the configuration and the output of kubearchive API.