A Model Context Protocol server that lets AI assistants understand a Crossplane control plane.
View on GitHub ↗A Model Context Protocol server that lets AI assistants understand a Crossplane control plane.
Ask your assistant "how many managed resources do I have and is anything broken?" and it will answer from your actual control plane, with the reason for every failure, instead of guessing.
The server is read-only by default: the tools that create and update are not registered at all unless you start it with --read-only=false, so a client cannot see them, let alone call them. Nothing deletes in either mode. Turn writes on and the same assistant can provision from your platform APIs:
Nothing there names a Kubernetes kind. The tool found the platform API this control plane offers, read the schema its XRD declares and filled it in. See examples/demo for a control plane you can try it on without a cloud account.
- Why not a generic Kubernetes MCP server? - Quick start - Installation - Client configuration - Tools - Read-only and write modes - Prompts - Calling a tool directly - Configuration - Multiple control planes - Running in a cluster - Required RBAC - Contributing - Security - License
Why not a generic Kubernetes MCP server?
A general purpose Kubernetes MCP server can already reach every object on a Crossplane control plane: Crossplane resources are Kubernetes resources, and a generic resourceslist with an apiVersion and a kind will happily return your XRDs. Access was never the problem.
The problem is that it does not know what any of it means, and it will happily delete it.
From the project README.
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