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FPL Strategy MCP

by bsovs
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Python
Hybrid

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    • FPL MCP Server

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    Deploy Server
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    TDQS

    A3.8/5.0

    Scored across 8 tools

    Disambiguation4/5

    Most tools have clearly distinct responsibilities: search, forecast, lineup, backtest, catalog, and info are well-separated. The main ambiguity is between fpl_recommend_moves and fpl_score_moves, though the descriptions do clarify that one is for final policy-driven actions and the other for transparent weight tuning of one-transfer moves.

    Naming Consistency3/5

    The consistent fpl_ prefix and snake_case help readability, and most names follow a verb_noun pattern like fpl_recommend_moves, fpl_search_players, fpl_score_moves. However, fpl_lineup_plan, fpl_strategy_catalog, and fpl_strategy_info deviate from that pattern, mixing noun-led and verb-led naming.

    Tool Count5/5

    Eight tools is a well-scoped count for an FPL strategy server, covering search, signals, decision-making, lineup planning, and backtesting without bloat. Each tool appears to serve a distinct part of the analysis-to-action workflow.

    Completeness4/5

    The server covers the main FPL workflow: player discovery, signal inspection, move scoring, final recommendations, lineup selection, and strategy backtesting. Minor gaps exist, such as no explicit tool for creating or persisting custom strategies or for managing chip state directly, but these are largely addressable through existing tools.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources