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Glama

Related Servers

Alternatives to foreman

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables warehouse operations agents to inspect tasks, deliveries, stock, and KPIs, and to attempt write operations in shadow mode with human approval and segregation of duties enforced as code.
      MIT
    • F
      license
      Not graded
      quality
      B
      maintenance
      Enables warehouse operations teams to investigate delayed inventory stages and safely create deduplicated human-review escalations using read-only evidence and signed continuation tokens.
      -
    • A
      license
      A
      quality
      B
      maintenance
      Enables MCP clients to deterministically audit claimed data-deletion requests, reconstruct what personal data remains reachable at a chosen cut-off, and retrieve evidence, case details, queues, what-if results, and verification outputs. It is read-only and lets agents build risk dashboards, review queues, case cards, and DPO briefs from the same capabilities as the CLI.
      10
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables assistants to inspect tamper-evident AI agent action journals through read-only verification, event querying, and policy-rule explanation.
      103 PyPI
      1
      Apache 2.0
    • F
      license
      Not graded
      quality
      C
      maintenance
      Enables querying PPE compliance analytics from precomputed video inference results, providing tools for site summaries, worker status, violations, and trends without re-running inference.
      1
      -
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables analytics agents to run validated read-only SQL against a warehouse API with enforced row limits, required JSON responses, and secret-safe audit metadata.
      MIT

    TDQS

    A3.9/5.0

    Scored across 7 tools

    Disambiguation5/5

    Each tool has a clear, non-overlapping purpose: listing videos, listing alerts, summarizing shifts, listing rejected detections, semantic search, explaining alert evidence, and exposing the taxonomy. There is no ambiguity about which tool to use for a given task.

    Naming Consistency4/5

    Most tools follow a verb_noun pattern (list_processed_videos, list_alerts, list_rejected_detections, search_timeline, explain_alert), but shift_summary and hazard_taxonomy break the pattern by leading with a noun. The deviation is minor and the naming remains readable.

    Tool Count5/5

    Seven tools is well-scoped for a video safety analysis and auditing system. Each tool covers a distinct query or audit function without redundancy, and the count is neither too thin nor too heavy.

    Completeness4/5

    The surface covers the core workflows: enumerating videos, querying alerts, auditing rejections, searching footage, and understanding alerts. A minor gap is the lack of a dedicated get_video detail tool, but list_processed_videos provides sufficient access for most use cases.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues