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rmednitzer

aiops-mcp

by rmednitzer
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Python
Remote

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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.6/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool has a distinct purpose: ingest_observation creates facts, query_facts retrieves them, fact_history shows historical data, drift_scan computes differences, and run_action executes actuations. No overlap.

    Naming Consistency4/5

    All names use snake_case and are two-word phrases, but they mix verb_noun (e.g., ingest_observation, query_facts) and noun_noun (e.g., drift_scan, fact_history) patterns. Still consistent in style and readable.

    Tool Count5/5

    With 5 tools, the set covers the essential AIOps operations—observation ingestion, fact querying and history, drift detection, and action execution—without being excessive or sparse.

    Completeness4/5

    Covers the main lifecycle: ingest, query, history, drift, and action. Missing update/delete for facts or baseline management, but core workflows are supported.

    Maintenance

    ActivityActive
    ResponsivenessSlow

    Resources