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

⇱ TrueNAS | Glama

  • Why this server?

    Allows interaction with TrueNAS Core systems through the TrueNAS API, enabling management of users, storage (pools and datasets), SMB shares, ZFS snapshots, and retrieving system information.

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    A Model Context Protocol server that enables Claude Desktop and other MCP clients to interact with TrueNAS Core systems through the TrueNAS API, supporting user management, storage operations, sharing, and snapshot creation.
    Last updated
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    28
    MIT

  • Why this server?

    Enables secure management and monitoring of TrueNAS storage systems through SSH with policy-based access controls.

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    Provides policy-driven, auditable SSH access to server fleets for AI assistants with zero-trust security controls, command whitelisting, and comprehensive audit logging to safely manage infrastructure.
    Last updated
    13
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    Apache 2.0

  • Why this server?

    Enables deployment and management of TrueNAS network-attached storage with ZFS optimization.

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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.
    Last updated
    58
    4
    MIT

  • Why this server?

    Provides tools for managing TrueNAS Scale systems, including storage pools, datasets, applications, VMs, snapshots, sharing, networking, SMART testing, cloud sync, and system management via the WebSocket API.

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    MCP server for TrueNAS Scale that enables AI assistants to manage storage pools, datasets, apps, VMs, snapshots, and more via the native WebSocket API.
    Last updated
    59
    MIT

  • Why this server?

    Provides tools for checking ZFS pool health, managing datasets, retrieving alerts, and creating snapshots through the TrueNAS API.

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    Enables Claude to monitor and manage homelab infrastructure including Docker containers, OPNsense firewall, and TrueNAS storage with configurable capability levels from read-only monitoring to full management control.
    Last updated
    13
    256
    5

  • Why this server?

    Provides tools to manage TrueNAS Scale Custom Apps, including deploying, updating, deleting, starting, stopping, and monitoring Docker Compose-based applications via WebSocket API.

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    A Model Context Protocol (MCP) server that enables AI assistants to manage TrueNAS Scale Custom Apps using natural language commands, with tools for deploying, managing, and monitoring Docker Compose applications.
    Last updated
    6
    MIT

  • Why this server?

    Provides extensive management of TrueNAS SCALE instances, including storage pools, datasets, shares, networking, virtual machines, and system updates via its REST API.

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    Provides comprehensive management of TrueNAS SCALE instances through 278 actions across 18 categories using a token-efficient hierarchical tool design. Users can perform tasks like storage management, service configuration, and system monitoring while benefiting from built-in safety confirmations and read-only dashboard resources.
    Last updated
    46
    5
    MIT

  • Why this server?

    Enables core system diagnostic and monitoring tools on TrueNAS storage platforms.

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    Provides read-only server monitoring and diagnostic tools for AI assistants to manage Linux and Unraid systems via SSH. It enables natural language interactions for container management, storage health checks, and system log analysis while keeping credentials secure.
    Last updated
    16
    ISC

  • Why this server?

    Provides access to documentation resources and architectural overviews for the TrueNAS middleware repository, including API signatures, plugin patterns, and tools for running middleware tests.

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    Provides optimized documentation and API patterns from the TrueNAS middleware repository to help AI assistants understand its codebase structure without context overload. It automatically processes CLAUDE.md files to expose categorized resources including plugin guides, API models, and testing patterns.
    Last updated