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futpicks-mcp

by Khavel
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TypeScript
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

    A3.7/5.0

    Scored across 17 tools

    Disambiguation3/5

    Most tools target distinct resources, but there is real overlap among match listing tools (flab_matches_today, flab_matches_upcoming, flab_evaluate_matches) and pick listing/performance tools (flab_picks_today, flab_picks_board, flab_track_record, flab_backtest_run). The descriptions provide helpful differentiators, yet an agent could easily select the wrong member of these clusters.

    Naming Consistency3/5

    The consistent 'flab_' prefix and snake_case help readability, but naming conventions are mixed: some tools use verb-first (flab_evaluate_matches, flab_export_picks) while others use noun-first or noun-temporal forms (flab_matches_today, flab_picks_board, flab_backtest_run, flab_ops_run). This inconsistency makes the API slightly harder to predict.

    Tool Count4/5

    At 17 tools, the server is on the heavier side, but the count is justified by three distinct access tiers: public data, Pro-only analytics, and admin operations. Each tool appears to serve a real workflow, so the size feels reasonable rather than bloated.

    Completeness5/5

    The tool surface covers the core domain thoroughly: match discovery and details, published picks and pick boards, historical performance, backtesting, CSV export, on-demand evaluation, health checks, and pipeline operations. There are no obvious dead ends or missing critical operations for a read-oriented sports-data API.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources