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Related Servers

Alternatives to WaveGuard

No user-submitted related servers found.

    Related Servers

    • A
      license
      A
      quality
      B
      maintenance
      Deterministic time-series statistics for AI agents. This MCP server gives any LLM agent unit-tested statistical tools — anomaly detection, changepoint detection, seasonal decomposition, stationarity/trend tests, data-quality audits, baseline forecasts — with schema-validated structured output and no arbitrary code execution.
      17
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    • A
      license
      Not graded
      quality
      C
      maintenance
      Local MCP server for GPU-backed TimesFM 2.5 forecasting, enabling zero-shot time-series forecasting, covariate forecasting, anomaly detection, and CSV forecasting via MCP tools.
      2
      Apache 2.0
    • F
      license
      Not graded
      quality
      D
      maintenance
      Model Context Protocol (MCP) server that gives AI assistants a safe, correct data-analyst capability over business metrics - without raw SQL improvisation.
      -
    • A
      license
      A
      quality
      B
      maintenance
      Model Context Protocol server for Verlon AI that exposes gates, logs, recommendations, and experiments as MCP tools, enabling coding agents to inspect and manage AI infrastructure natively.
      5
      101 npm
      MIT

    TDQS

    A4.2/5.0

    Scored across 3 tools

    Disambiguation4/5

    The three tools have distinct purposes: health check, general anomaly scan for any data, and specialized time-series scan. However, the general scan also works on time-series data, creating ambiguity about which to use for time-series tasks.

    Naming Consistency3/5

    The naming uses a common prefix 'waveguard_', but mixes verbs: 'health' is a noun, while 'scan' and 'scan_timeseries' are verbs. This inconsistency in verb style could confuse an agent expecting a uniform pattern.

    Tool Count4/5

    With 3 tools, the server is minimal but covers the essential functions: verification, general scanning, and time-series scanning. It is slightly sparse but acceptable for a focused utility server.

    Completeness4/5

    The tool set covers the core workflow: health check, anomaly detection for general and time-series data. Minor gaps include lack of configuration or history retrieval, but the stateless design mitigates these.

    Maintenance

    ActivityInactive
    ResponsivenessUnresponsive