SSH MCP Server
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cygnus-ssh-mcpofficial
AlicenseBqualityBmaintenanceEnables AI assistants to manage remote servers via SSH with 43 specialized tools for command execution, file editing, directory operations, and background tasks across Linux, macOS, and Windows.445GPL 3.0- AlicenseAqualityBmaintenanceEnables AI agents to securely connect to and manage remote servers via SSH, with tools for running commands, file operations, log inspection, service management, and system monitoring under configurable access controls and audit logging.12617 npmMIT
TDQS
Scored across 18 tools
Each tool targets a distinct resource and action: file read/write/list/upload/download, job status/output/list/kill, log tail/search, and system snapshot/audit/disk/service checks are clearly separated. Cross-references such as ssh_file_read vs ssh_download and ssh_snapshot vs ssh_audit_baseline reinforce rather than blur the boundaries. ssh_exec is explicitly positioned as a last-resort generic tool, reducing overlap.
All tools share the ssh_ prefix and snake_case, and most follow a domain_action pattern like ssh_file_read, ssh_job_status, and ssh_log_search. A few one-offs such as ssh_snapshot, ssh_monitor, ssh_upload, and ssh_audit_baseline break the otherwise predictable pattern, though they remain readable and recognizable.
At 18 tools, the set is slightly above the typical 3-15 range, but it covers a broad SSH operations domain: execution, files, transfers, detached jobs, logs, monitoring, TLS, disk, and services. Each tool has a distinct role and none feels redundant, so the count is reasonable for the stated scope.
The tool surface covers the main workflows: command execution, file read/write/list/transfer, detached job lifecycle, log tailing/searching, and system/health inspection. Obvious gaps like a dedicated file delete or service start/stop are absent, but ssh_exec provides a universal fallback, so agents can work around those missing operations.