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livefpl-mcp

by Nanparam
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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

    A4.1/5.0

    Scored across 9 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: risers vs fallers, specific player prediction, transfer pairs, price status, and three transfer-trend variants (graph, by-position grid, raw data) that differ by output format and scope. The league live score tool is completely separate. No two tools could be reasonably confused.

    Naming Consistency4/5

    All tools share the 'livefpl_' prefix and use descriptive snake_case names that convey the subject (price, player, transfer, league). While the pattern is not a strict verb_noun (e.g., 'price_risers' vs 'player_prediction'), the naming is consistent in style and predictable, with only minor grammatical variation across the set.

    Tool Count5/5

    Nine tools is well-scoped for an FPL price-and-transfer analysis service. Each tool serves a distinct purpose without redundancy, covering prediction lists, specific queries, transfer trends (in multiple forms), and league standings. The count feels deliberate and not excessive.

    Completeness4/5

    The tool surface covers the primary domain: price prediction (risers/fallers, specific player), transfer volume (top transfers, trend graphs/data), and live league standings. Minor gaps exist (e.g., no transfer history or individual player ownership data), but the core workflows have no dead ends and agents can achieve the intended tasks without missing operations.

    Maintenance

    ActivityStale
    ResponsivenessNo issues

    Resources