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

⇱ Kubernetes | Glama


  • Why this server?

    Provides tools for listing and retrieving details of Linode Kubernetes Engine (LKE) clusters and available Kubernetes versions.

  • Why this server?

    Enables retrieval of live status information for Kubernetes resources within Octopus Deploy projects and environments

  • Why this server?

    Provides version-aware Kubernetes documentation assistance, connecting to trusted, real-time Kubernetes docs and ensuring accurate, version-specific responses about kubectl behavior, API schemas, and feature gates across all Kubernetes versions.

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    A version-aware Kubernetes documentation assistant that connects LLMs to trusted, real-time Kubernetes docs to reduce hallucinations and ensure accurate, version-specific responses.
    Last updated
    2
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    4
    MIT
  • Why this server?

    Supports querying Kubernetes resources through Azure Resource Graph using custom KQL templates for inventory management

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    Enables natural language exploration of Azure environments by generating and executing KQL queries against Azure Resource Graph. Supports multi-tenant configurations, subscription scoping, and provides direct access to Azure resource information through conversational interactions.
    Last updated
    8
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    Apache 2.0
  • Why this server?

    Enables auditing of Amazon EKS clusters to identify outdated Kubernetes versions for maintenance and governance.

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    Provides a comprehensive suite of 76 tools for AWS cloud resource optimization, cost management, and infrastructure monitoring. It enables users to identify unused resources, analyze cost trends, right-size capacity, and maintain security compliance through natural language.
    Last updated
    76
    MIT
  • Why this server?

    Supports generating Kubernetes architecture diagrams with K8s-specific icons and components.

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    An MCP server that generates professional infrastructure diagrams using the Python diagrams DSL, with first-class Azure support and GitHub Copilot integration for natural language diagram generation.
    Last updated
    4
    MIT
  • Why this server?

    Enables real-time Kubernetes cluster visibility, resource browsing, and management through the Kunobi desktop platform.

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    Exposes Kunobi's application data and store querying capabilities to AI assistants by bridging stdio to Kunobi's local HTTP MCP endpoint. It features dynamic tool discovery and automatic reconnection to ensure tools like query_store and app_info are always available when Kunobi is running.
    Last updated
    4
    17
    1
    Apache 2.0
  • Why this server?

    Enables AKO (Avi Kubernetes Operator) operations on Kubernetes clusters, including pod status, logs, restart, Helm config, ingress diagnostics, sync diagnostics, and multi-cluster management.

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    VMware AVI Load Balancer (NSX Advanced Load Balancer) management plus AKO Kubernetes integration. 29 MCP tools across virtual services, pools, analytics, and AKO lifecycle, with double-confirmation gates and audit logging for destructive operations.
    Last updated
    28
    MIT
  • Why this server?

    Interacts with the Supervisor Kubernetes API to manage Tanzu Kubernetes Clusters (TKC), including creating, scaling, upgrading, and retrieving kubeconfigs for workload clusters.

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    AI-powered VMware vSphere with Tanzu (VKS) management. Create and manage Supervisor Namespaces and TanzuKubernetesClusters with 20 MCP tools.
    Last updated
    20
    MIT