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observability-mcp

by ThainaJardim
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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

    A4.2/5.0

    Scored across 8 tools

    Disambiguation5/5

    Each tool targets a distinct operation and data source (Loki vs. Thanos), with clear naming and descriptions that prevent confusion. Even similar tasks like label listing are differentiated by the datasource prefix.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern in snake_case, e.g., 'query_loki_instant', 'list_labels'. The naming clearly indicates the action and the target, making it predictable and easy to understand.

    Tool Count5/5

    With 8 tools covering essential operations for two datasources (metrics and logs), the count is well-scoped. There are no redundant tools, and each tool serves a clear purpose without overwhelming the agent.

    Completeness5/5

    The tool set covers the core query and metadata exploration for both Loki and Thanos, including instant/range queries, label discovery, and series listing. No obvious gaps exist for standard observability workflows.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources