Skip to main content
Glama
dsyorkd

pi-controller-mcp

by dsyorkd
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Remote

Related Servers

Alternatives to pi-controller-mcp

No user-submitted related servers found.

    Related Servers

    • 6amdev-server-mcp by 6amdev

      6amdev-server-mcpofficial

      6amdev
      F
      license
      B
      quality
      D
      maintenance
      MCP server for managing Ubuntu servers with AI integration, enabling system monitoring, Docker control, Gitea repository management, Ollama LLM interaction, workspace file operations, and Claude Code assistant via natural language.
      34
      -

    • mcp-kubernetes-server

      feiskyer
      A
      license
      Not graded
      quality
      C
      maintenance
      An MCP server that enables AI assistants to interact with Kubernetes clusters by translating natural language into kubectl and Helm operations. It allows users to query, manage, and diagnose Kubernetes resources and cluster states through a seamless integration.
      20
      Apache 2.0

    • kube-mcp

      lochgeo
      A
      license
      Not graded
      quality
      D
      maintenance
      An MCP server that enables interaction with Kubernetes/Minikube clusters through natural language, allowing AI agents like Codename Goose to manage Kubernetes resources via the Model Context Protocol.
      2
      MIT
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.5/5.0

    Scored across 14 tools

    Disambiguation5/5

    Each tool targets a distinct resource and action: cluster definitions vs provisioning vs status, node discovery vs registration vs provisioning, and unique utilities like GPIO listing and CA initialization. No two tools appear to do the same thing.

    Naming Consistency5/5

    All tools follow a consistent snake_case verb_noun pattern (e.g., create_cluster, list_clusters, deprovision_node). This uniform structure makes the toolset predictable and easy to navigate.

    Tool Count5/5

    14 tools is well within the ideal range for a domain-specific controller. Each tool covers a necessary aspect of Raspberry Pi K3s cluster management, from node lifecycle to cluster operations.

    Completeness4/5

    The cluster and node lifecycles are well covered with create/provision/scale/delete and discover/register/provision/deprovision. Minor gaps exist in pod management (only deploy_pod, no get/delete/logs) and GPIO operations (list only), but the core workflows are complete.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources