Skip to main content
Glama

Related Servers

Alternatives to Servonaut

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to manage remote servers via SSH, including command execution, multi-host batch operations, SFTP file transfer, background job handling, DevOps diagnostics, port tunneling, and safety guardrails like high-risk command blocking and read-only mode.
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables 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.
      12
      5 npm
      1
      MIT
    • A
      license
      B
      quality
      A
      maintenance
      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.
      13
      28
      Apache 2.0
    • A
      license
      B
      quality
      A
      maintenance
      The safety gate between AI agents and your servers: 25 typed, policy-checked tools for services, logs, Docker, disk, ports and nginx, with human approval for changes and a hash-chained audit log.
      25
      1
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Enables AI agents to inspect and manage remote hosts over SSH with tiered blast-radius containment that classifies and blocks destructive commands, plus forensic post-flight assertions that verify ports, processes, files, and HTTP health. It also provides long-running background task envelopes and atomic SFTP file editing with automatic backups, unified diffs, and one-click rollback.
      12
      MIT

    TDQS

    B3.4/5.0

    Scored across 69 tools

    Disambiguation3/5

    Most tools target a distinct resource (docker_*, s3_*, db_*, cloudwatch_*), but there are real collisions: build_server_memory vs refresh_server_memory are self-admittedly 'functionally equivalent', and block_ip vs ip_ban_set vs waf_rate_rule_set all resolve a site and change the same WAF/SG blocking layers. Descriptions do try to steer selection (e.g. 'use this when cloudwatch_top_ips doesn't compute what you need'), which keeps it workable, but an agent still has genuine coin-flips.

    Naming Consistency3/5

    There is a recognizable provider-prefix convention (aws_*, s3_*, cloudwatch_*, docker_*, db_*, relay_*), but it is applied unevenly: some are verb_noun (list_instances, build_server_memory), many are bare nouns with no verb at all (disk_usage, security_audit, service_state, journal_errors, pending_updates, whoami), and the same action is named two ways (block_ip vs ip_ban_set). Readable in practice, but not a single predictable pattern.

    Tool Count2/5

    69 tools is far past the range where an agent can hold the surface in view, and the breadth (EC2, S3, WAF, Docker, DB, journald, TLS, memory, findings) means whole clusters compete for attention. The domain is genuinely large, which excuses some of it, but duplication (two identical memory-builders, three IP-blocking paths) means not every tool earns its place.

    Completeness4/5

    Coverage is genuinely broad for an SRE/server-ops platform: instance lifecycle, AWS resource discovery, full S3 object/bucket CRUD, Docker and journald inspection, DB profiling setup, WAF/ingress diagnostics, and a persisted findings store. Minor gaps remain — mutations like start/stop/reboot/terminate are AWS-only, so OVH/Hetzner/custom instances can't be power-cycled, and there is no scheduling/alerting surface — but agents can work around these.

    Maintenance

    ActivityActive
    ResponsivenessResponsive