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MySQL-Performance-Tuner-Mcp

by isdaniel
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Python

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    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

    A4/5.0

    Scored across 30 tools

    Disambiguation4/5

    Most tools have distinct purposes with clear boundaries, such as analyze_auto_increment for overflow checks versus analyze_buffer_pool for memory usage. However, some overlap exists, like analyze_statements and get_slow_queries both analyzing query performance, which could cause minor confusion. Overall, descriptions help differentiate tools effectively.

    Naming Consistency5/5

    Tool names follow a highly consistent verb_noun pattern throughout, using snake_case uniformly. All tools start with verbs like analyze_, get_, find_, check_, or calculate_, followed by descriptive nouns, making the set predictable and readable. No deviations in naming conventions are present.

    Tool Count3/5

    With 30 tools, the count feels heavy for a performance tuning server, bordering on excessive. While the domain is broad, many tools could be consolidated (e.g., multiple analyze_* tools for specific aspects). This may overwhelm users or agents, though it covers many niche areas.

    Completeness5/5

    The tool set provides comprehensive coverage for MySQL performance tuning, including analysis, monitoring, and optimization across areas like queries, indexes, memory, transactions, and security. No obvious gaps exist; tools support full lifecycle management from diagnosis to recommendations, ensuring agents can handle most tuning tasks.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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