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jedi-knights

jk-mcp-usls

by jedi-knights
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Python
Hybrid

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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

    A4.7/5.0

    Scored across 11 tools

    Disambiguation5/5

    Each tool targets a distinct data type or query: team lists vs. details, schedules vs. scoreboards vs. match events, and three separate analytics tools that do not overlap. An agent can easily select the right tool without confusion.

    Naming Consistency5/5

    Every tool follows the same get_ prefix with descriptive noun phrases (get_teams, get_standings, get_match_details). This consistent pattern makes the toolset predictable and easy to navigate.

    Tool Count5/5

    With 11 tools, the server is well-scoped for a sports data API: core retrieval (teams, standings, schedules, scores, rosters, news) plus a few advanced analytics tools. No tool feels redundant or out of place.

    Completeness5/5

    The domain of USL Super League data is thoroughly covered: teams, standings, matches, rosters, news, and analytical queries. The read-only nature is consistent with a data feed, and no critical data type appears missing.

    Maintenance

    ActivityNo data
    ResponsivenessNo issues

    Resources