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Remote SSH MCP

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      Persistent SSH sessions for AI assistants, enabling long-running remote shell connections with features like file transfer, port forwarding, and swarm mode.
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      Execute terminal commands locally or remotely via SSH with session persistence and environment variable support. Manage terminal sessions that maintain state for up to 20 minutes, enabling efficient command execution workflows. Connect using stdio or SSE for flexible integration with AI models and a
      1
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    • F
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      Enables AI assistants to run commands on remote SSH-accessible devices via persistent sessions, supporting both POSIX and CLI shells with safety filters.
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      Enables AI assistants to securely execute shell commands on local machines through an SSH interface with session management, command execution, and sudo support.
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    TDQS

    A4.4/5.0

    Scored across 7 tools

    Disambiguation5/5

    Each tool maps to a discrete part of the SSH session lifecycle: discover hosts, open a session, run a command, interrupt, peek output, list sessions, and close. No two tools could plausibly be selected for the same action.

    Naming Consistency4/5

    Most tools follow a consistent ssh_<verb> pattern: open, run, interrupt, peek, list, close. However, ssh_hosts is a noun-resource name rather than an action verb, and ssh_list is slightly generic, so the pattern has minor deviations.

    Tool Count5/5

    Seven tools cover the full remote-shell workflow without redundancy. Each tool has a clear role, and none feel like filler or unnecessary overlap.

    Completeness5/5

    The lifecycle is complete: discover allowed hosts, open persistent shells, run commands, poll and interrupt active commands, enumerate live sessions, and cleanly close. There are no obvious missing operations for the stated remote-shell purpose.

    Maintenance

    ActivityActive
    ResponsivenessNo issues