PlayerElo MCP server
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TDQS
Scored across 17 tools
Each tool targets a distinct entity or specific aspect (e.g., player history vs. player value vs. player style). Search tools are separated by entity (players, coaches, clubs). No two tools appear to perform the same function, and any conceptual overlaps (like player opportunities vs. transfer fit) are complementary rather than redundant.
All tool names follow a consistent lowercase_underscore convention with verb prefixes: search_*, list_*, and get_*. The get_* tools use clear entity-specific suffixes (e.g., get_player_history, get_club_squad_gaps). This makes the naming predictable and easy to navigate.
With 17 tools, this is slightly above the typical well-scoped range, but the server covers a broad domain (players, coaches, clubs, leagues, predictions, betting). Each tool serves a distinct purpose and the count feels justified rather than bloated.
The tool surface covers core read operations for all entities, including specialized analytics (player history, value, style, opportunities; club squad gaps; league rankings; predictions; value bets). Minor gaps exist, such as no coach history or player match-level stats, but these are not critical to the server's stated purpose.