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Glama
SergioCastro02

NBA MCP Server

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
find_playerA

Look up an NBA player by full or partial name.

Returns the player_id needed by player_career_stats, plus any other name matches.

find_teamA

Look up an NBA team by name, city, or 3-letter abbreviation (e.g. 'BOS').

Returns the team_id needed by team_roster.

list_teamsA

List all 30 NBA teams with their ids and abbreviations.

player_career_statsA

Career and per-season stats for a player.

Get player_id from find_player. Returns regular-season and playoff career averages plus a season-by-season regular-season breakdown.

league_standingsA

Final or current standings for a season, split by conference.

season is 'YYYY-YY', e.g. '2023-24'.

team_rosterA

Roster for a team in a given season.

Get team_id from find_team. season is 'YYYY-YY'.

stat_leadersA

Per-game statistical leaders for a season.

stat is one of: points, rebounds, assists, steals, blocks, three_pointers. season is 'YYYY-YY'. limit is capped at 50.

scoreboardA

Games and scores for a date (defaults to today).

game_date is 'YYYY-MM-DD'.

game_boxscoreA

Box score summary for a game: final score and top 5 scorers per side.

Get game_id from scoreboard.

Prompts

Interactive templates invoked by user choice

NameDescription
scouting_reportBuild a scouting report for a player using the NBA tools. focus: 'overall', 'offense', 'defense', or 'playoffs'.
compare_playersCompare two players head-to-head using the NBA tools.

Resources

Contextual data attached and managed by the client

NameDescription
teams_resourceThe 30 NBA teams with ids and abbreviations.
glossary_resourceWhat the stat fields returned by the tools mean.

TDQS

A3.9/5.0

Scored across 9 tools

Disambiguation5/5

Each tool targets a distinct NBA entity or query type: player lookup, team lookup, team enumeration, player stats, standings, roster, stat leaders, scoreboard, and box score. Even the closest pair, find_team and list_teams, are clearly differentiated as search versus full list.

Naming Consistency3/5

Tool names mix imperative verb-led forms like find_player, find_team, and list_teams with noun/resource forms like player_career_stats, league_standings, and game_boxscore. The names are readable and consistently snake_case, but the verb/noun pattern is not applied uniformly.

Tool Count5/5

Nine tools is a well-scoped size for an NBA data server, covering the major stat and score queries without redundancy. Each tool earns its place in the set.

Completeness4/5

The tool set covers the core read-only NBA workflow: player and team lookup, player stats, rosters, standings, stat leaders, scoreboard, and box score summaries. Gaps such as full box score details, player game logs, or a season schedule are minor and can be worked around.

Maintenance

ActivityMaintained
ResponsivenessNo issues