Dot AI MCP server

Read from the package source without running it. The installed server may list more.

• get_nu_help_outputwrite action

  Executes 'nu ./dot.nu --help' and returns the raw help output text. Returns the complete help documentation that lists all available platform operations with their commands and descriptions.

• kubectl_api_resources

  Get list of all available Kubernetes API resources in the cluster (resource types, API groups, namespaced vs cluster-scoped). Use this to discover what resources are available before querying specific resources. Essential for understanding what can be investigated in this cluster.

• kubectl_apply_dryrun

  Validate that a kubectl apply command will be accepted by the cluster without actually applying it. Use this to test applying YAML manifests or configuration changes before completing investigation.

• kubectl_delete_dryrunwrite action

  Validate that a kubectl delete command will be accepted by the cluster without actually deleting resources. Use this to test resource deletion before completing investigation.

• kubectl_describe

  Get detailed information about specific Kubernetes resources including configuration, status, events, and relationships. Use this when you need comprehensive details about a specific resource, especially to understand configuration issues or see recent events related to that resource.

• kubectl_events

  Get Kubernetes events which record important state changes, errors, warnings, and informational messages from the cluster. Essential for understanding scheduling issues, resource problems, configuration errors, and system-level events affecting resources.

• kubectl_get

  Get Kubernetes resources and their current state in TABLE FORMAT (most efficient). Returns compact table with NAME, STATUS, READY, AGE columns. Use this to list resources and check basic status. For detailed information, use kubectl_describe instead. IMPORTANT: Always returns table format - output format flags like -o=yaml or -o=json are automatically stripped.

• kubectl_get_crd_schema

  Get the OpenAPI v3 schema for a Custom Resource Definition (CRD). Use this to understand the structure, required fields, validation rules, and available properties when crafting patches or configurations for custom resources like CNPG clusters, Crossplane resources, ArgoCD applications, etc.

• kubectl_logs

  Get container logs from pods. Essential for debugging application crashes, errors, and understanding runtime behavior. Use --previous flag to get logs from crashed/restarted containers.

• kubectl_patch_dryrunwrite action

  Validate that a kubectl patch command will be accepted by the cluster without actually applying it. Use this to test your proposed remediation patches before completing investigation. Essential for confirming command syntax and cluster acceptance.

• Code scan139 source files scanned25/25
• –Live reliabilityno gateway calls yet and no remote to proben/a
• –Tool poisoningtools not inspected (local package is not executed); not countedn/a
• Auth qualitylocal package, no credentials required12/15
• Maintenancelast push 0 days ago15/15
• Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10

Dot AI: common questions

Is Dot AI MCP server safe?

Yes, by our scan: it is graded A (92/100). Read the Dot AI safety report

How do I install Dot AI?

It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.

Does Dot AI need an API key?

Not as far as the registry entry and our scan can tell: no credentials are declared or required.

Is Dot AI maintained?

The last commit was 12 days ago (2026-10-01). The latest release is v0.112.0.

What can I use instead of Dot AI?

Servers from other publishers that do the same job: Kubefwd MCP server, Kubernetes MCP server and Radar Kubernetes MCP Server. Compare all Dot AI alternatives.