mcpField
D
DunkAPI

DunkAPI

Remote
github.com/noahowshGames & Entertainment0Updated 1w ago
Repository

About DunkAPI

DunkAPI is a REST and hosted MCP server for NBA, WNBA, and covered college basketball data. It gives analysts and basketball applications access to game details, shot locations, sportsbook odds, and player props.

Key features

  1. 01Play-by-play with shot locations
  2. 02Box scores, standings, and ratings
  3. 03Sportsbook odds and line movement
  4. 04Player props and historical results
  5. 05NBA, WNBA, and college coverage

Use cases

  1. 01Compare sportsbook closing lines
  2. 02Analyze shot patterns by zone
  3. 03Review player prop outcomes
  4. 04Query schedules, injuries, and standings

MCP support

A hosted MCP server over Streamable HTTP exposes basketball data tools to MCP clients. It can also be run locally over stdio as a forwarder to the hosted server.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://mcp.dunkapi.com/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

All endpoints
Streamable HTTPhttps://mcp.dunkapi.com/mcpAuth required

Tools

18
ParameterTypeRequiredDescription
leagueenumNoLeague. Defaults to nba. One of: nba, wnba, ncaam, ncaaw.nba | wnba | ncaam | ncaaw
seasonnumber|stringNoSeason by the year it ends: 2025 = 2024-25. WNBA: the calendar year.

Details

From the project README

DunkAPI MCP server

Smithery MCP Registry

The basketball data API. NBA play-by-play with the location of every shot, box scores, win probability, standings, injuries, our own team Elo ratings, sportsbook lines and player prop lines, plus the WNBA and men's and women's Division I college basketball. REST API and MCP server. 500 free credits every month, no card.

Website: https://dunkapi.com · Docs: https://dunkapi.com/docs · Get a key: https://dunkapi.com/signup

You:    "What was each sportsbook's closing spread for every Celtics home game in 2023-24?"
Claude: [calls get_odds]

You:    "Which players took the most shots at the rim in the 2025 playoffs?"
Claude: [calls get_shot_chart]

You:    "How often has Jalen Brunson gone over his points line this season?"
Claude: [calls get_prop_history]

Run it locally (stdio)

Most clients connect to https://mcp.dunkapi.com/mcp directly. For a client that launches a local process instead:

git clone https://github.com/noahowsh/dunkapi-mcp.git && cd dunkapi-mcp && npm install
DUNKAPI_API_KEY=your_key node index.js
{ "mcpServers": { "dunkapi": { "command": "node", "args": ["/path/to/dunkapi-mcp/index.js"], "env": { "DUNKAPI_API_KEY": "your_key" } } } }

It forwards to the hosted server with your key, so every tool and credit cost is the same.

Skills

skills/ holds 16 free Claude skills that turn Claude into a basketball analyst for the NBA, WNBA and men's and women's college basketball. A skill is a markdown file: when to use it, which DunkAPI tools it calls and what they cost, the method (shot zones and expected points, pace and efficiency, rolling game logs, prop modeling, devigging, backtesting), and examples taken from real API responses.

git clone https://github.com/noahowsh/dunkapi-mcp.git

Or install them as a Claude Code plugin:

/plugin marketplace add noahowsh/dunkapi-mcp
/plugin install dunkapi-skills@dunkapi

Or with the skills CLI: npx skills add noahowsh/dunkapi-mcp.

Point Claude at the skills/ folder, connect the MCP server below, and ask a question. Start with the dispatch skill if you are not sure which one applies. Skills also work on your own CSV or JSON files, with no key. Full list: skills/README.md.

Python

The official Python client is on PyPI: dunkapi.

pip install dunkapi
export DUNKAPI_API_KEY=sk_live_...
from dunkapi import Client, to_dataframe

client = Client()

props = client.get_player_props(
    game_id="401810726",
    market="player_points",
    bookmaker="draftkings",
)
df = to_dataframe(props, key="props")
print(df[["player_name", "line", "over_odds", "under_odds"]].head(10))

Typed errors for a bad key, no credits left, not found and rate limits, automatic retries, and to_dataframe for pandas.

Quick start

This is a hosted (remote) MCP server over Streamable HTTP. There is nothing to install.

Claude Code

claude mcp add --transport http dunkapi "https://mcp.dunkapi.com/mcp?key=YOUR_API_KEY"

Claude Desktop, Cursor and other clients

{
  "mcpServers": {
    "dunkapi": {
      "url": "https://mcp.dunkapi.com/mcp?key=YOUR_API_KEY"
    }
  }
}

The key can also be sent as an x-api-key header or Authorization: Bearer. Connecting and listing tools works without a key; calling a tool needs one.

REST

curl -X POST https://mcp.dunkapi.com/v1/list_teams -H "x-api-key: YOUR_API_KEY"

Every tool is POST /v1/{tool} with a JSON body.

Examples

Runnable Python (standard library only) and Node 18+ (no dependencies) examples live in examples/:

export DUNKAPI_API_KEY=your_key
python3 examples/python/quickstart.py
node examples/node/quickstart.mjs

See examples/README.md for details. Get a free key (500 credits a month, no card) at https://dunkapi.com/signup.

Tools (18)

ToolWhat it returns
list_teamsTeam ids, abbreviations and colours for a season
search_playersFind players by name
list_gamesGames with scores by season, date, range or team
get_scheduleUpcoming games with the median line across sportsbooks
get_standingsStandings from every final game: overall, conference, home, away, last 10
get_injuriesThe latest injury report: status, injury and expected return (NBA, WNBA)
get_ratingsOur team Elo ratings, ranked
get_gameOne game: both box scores, every player's line, each book's line, win probability
get_playerProfile, per-season averages and shooting splits, last 10 games
get_player_gamesA player's full game log
get_leadersSeason leaders per game, by percentage or in total
get_team_statsPace, offensive, defensive and net rating, and the four factors
get_oddsEvery sportsbook's moneyline, spread and total for a game (5) or a day (10), with results against the line
get_playsPlay-by-play with shot locations, zones, expected points and win probability
get_shot_chartShot profile by zone for a player, team or defence, with every shot's x/y
get_line_movementSnapshots of each sportsbook's line before tip-off
get_player_propsPlayer prop lines by sportsbook, opening and closing
get_prop_historyA player's prop lines against the result, game by game

Leagues: nba (default), wnba, ncaam, ncaaw (pass league to any tool).

Data

  • NBA games since 2003-04 with play-by-play and shot locations (x/y, zone, expected points, win probability)
  • The WNBA and men's and women's Division I college basketball through the same tools
  • Team Elo ratings, standings from every final game, injury report (NBA, WNBA)
  • Per-sportsbook moneylines, spreads and totals: 4 to 12 books per regular-season NBA game from 2013-14 to 2023-24 (10 to 12 from 2020-21), plus opening and closing lines since July 2020 (a median of 7 books per NBA game in 2020-21 to 2022-23, 8 since); pre-game line snapshots from launch: once a day, and every hour for games in the next two days
  • Player prop lines by sportsbook (points, rebounds, assists, threes, points + rebounds + assists, blocks, steals) from May 2023 for the NBA and WNBA and from the 2023-24 season for men's college basketball, with the result against each line (get_player_props, get_prop_history)
  • Women's college basketball: opening and closing lines from November 2024 (a median of 4 books); no player props

Coverage by season, read live from the database: https://dunkapi.com/docs

Useful pages

Pricing

500 free credits every month, no card. Plans: Starter $19/mo (10,000 credits), Pro $49/mo (30,000), Scale $149/mo (125,000). Wallet top-ups from $5, never expire. https://dunkapi.com/pricing

Attribution

Ratings are ours. Not affiliated with the NBA, WNBA, NCAA or any team.

License

MIT for the contents of this repository. Data terms as above.

Use with Codex

Add this repo as a Codex plugin marketplace, then install the plugin:

codex plugin marketplace add noahowsh/dunkapi-mcp

Then open the plugin directory in Codex and install dunkapi-skills from the dunkapi marketplace. The plugin bundles the skills in skills/ and the DunkAPI MCP server (https://mcp.dunkapi.com/mcp). Set your key first (free at https://dunkapi.com/signup):

export DUNKAPI_API_KEY=your_key

Codex sends it as a bearer token.

Use with Gemini CLI

export DUNKAPI_API_KEY=your_key
gemini extensions install https://github.com/noahowsh/dunkapi-mcp

The extension adds the DunkAPI MCP server (https://mcp.dunkapi.com/mcp) and sends the key in the x-api-key header. Get a free key (500 credits a month) at https://dunkapi.com/signup.

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