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URL: https://glama.ai/mcp/servers/integrations/k3s

⇱ K3s | Glama


  • Why this server?

    Enables deployment and management of K3s lightweight Kubernetes clusters for container orchestration across homelab infrastructure.

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    Enables AI assistants to manage homelab infrastructure through automated service installation (Jellyfin, Pi-hole, Ollama, Home Assistant, Frigate NVR), VM operations, AI accelerator support (MemryX, Coral TPU, Hailo-8), and Terraform state management with SSH-based discovery and deployment.
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    4
    MIT
  • Why this server?

    Provides k3s-ready deployment options for lightweight Kubernetes clusters, enabling scalable simulation environments.

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    Simulate hundreds of AI agents to predict how communities react to events and policies. Upload any document (PDF, Markdown, text) and DeepMiro spawns a diverse swarm of AI agents that debate, share, and form opinions — then delivers a calibrated prediction report. Free and open-source.
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    AGPL 3.0
  • Why this server?

    Enables management of lightweight K3s clusters remotely via SSH, with full support for all Kubernetes operations including resource management, monitoring, and troubleshooting.

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    Enables AI assistants to interact with Kubernetes clusters through 50 specialized tools for comprehensive cluster management. Supports both local kubectl and remote SSH-based execution for managing pods, deployments, services, and other Kubernetes resources.
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    49
    MIT
  • Why this server?

    Enables intelligent search, summarization, and exploration of K3s documentation.

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    An AI-powered documentation navigator that enables intelligent search, summarization, and exploration of SUSE, Rancher, and related open-source documentation using local or cloud AI models.
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    1
    MIT
  • Why this server?

    Enables management of K3s lightweight Kubernetes clusters with full support for resource operations, monitoring, and troubleshooting through AI-powered natural language commands

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    🤖 AI-powered Kubernetes management with 37+ tools via natural language. Transform complex Kubectl commands into simple conversations. Perfect for DevOps teams using Cursor AI. Built with Go.
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    3
    MIT
  • Why this server?

    Provides support for deploying Selenium Grid in K3s lightweight Kubernetes environments for local development and testing of browser automation workflows.

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    Enables browser automation by managing Selenium Grid browser instances (Chrome, Firefox, Edge) in Docker or Kubernetes environments. Provides secure, scalable browser control for AI agents and testing workflows.
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    8
    MIT
  • Why this server?

    Supports deployment of lightweight Kubernetes clusters for edge orchestration and distributed AI workloads.

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    Connects AI assistants to NVIDIA Jetson Nano systems for edge computing management, enabling natural language control of AI workloads, hardware optimization, and system administration tasks.
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    5
    MIT