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aiganak-aiops-mcp

by AiGanak
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Python

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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

    B3.4/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool targets a clearly distinct task: log querying, code inspection, and code modification. There is no overlap between querying logs, parsing ASTs, and applying patches, so an agent would not confuse them.

    Naming Consistency2/5

    The naming is inconsistent: query_log_file uses a verb_noun_obj pattern, inspect_code_ast uses verb_noun_obj, but apply_code_patch uses verb_noun. The verbs (query, inspect, apply) are varied and not obviously part of a unified domain vocabulary, and the patterns differ across tools.

    Tool Count3/5

    Three tools is on the borderline of being too thin for an AIOps server, especially given the mixed domain of log analysis and code modification. The count is defensible, but the scope feels narrow for a server with 'aiops' in its name.

    Completeness2/5

    The tools span log querying, code inspection, and code patching, but each area has obvious gaps: there is no tool for writing log query results, no update/get verification for the patch step beyond the patch itself, and the log analysis surface gives no way to define or manage analysis workflows. The domain coverage is fragmented rather than complete.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

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