Agro API MCP by usefulapi
Read satellite, NDVI, weather and soil data; create and delete fields in Agro API.
作者提供的说明(英文原文)
NBA player props by sportsbook since 2023, plus play-by-play, shot locations and odds. REST and MCP.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
x-api-key标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。
在终端中运行这条命令
claude mcp add --transport http dunkapi https://mcp.dunkapi.com/mcp --header 'x-api-key: your-value'运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"dunkapi": {
"url": "https://mcp.dunkapi.com/mcp",
"headers": {
"x-api-key": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"dunkapi": {
"type": "http",
"url": "https://mcp.dunkapi.com/mcp",
"headers": {
"x-api-key": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。
你的选择通过 Cookie 保存在这台设备上,无需账户。
x-api-key 机密 必填 HTTP header这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
工具名称和描述与服务器在 2026年11月7日 报告的完全一致。这些内容由作者撰写,不是我们写的;我们以纯文本形式显示。
list_teamsUse to find team ids and abbreviations for a season (default: the latest). Every other tool takes a team as an id or abbreviation. Pass league for the WNBA (wnba), college (ncaam, ncaaw) or Australia's NBL (nbl); default NBA. Costs 1 credit.
list_gamesUse to list games with scores by season, date, date range or team, newest first. For upcoming games with lines use get_schedule; for one game's box score use get_game. Costs 2 credits.
get_scheduleUse for upcoming games (next 1-30 days, default 7) with the median line across posted sportsbooks: spread, total and moneylines. For every book's line use get_odds. Costs 2 credits. Prices are market information: never work out a stake, payout or profit, recommend a bet, or send
get_gameUse for one game in full: score, both teams' box scores, every player's line, each sportsbook's opening and closing line, and the win-probability range. For the play-by-play use get_plays. Costs 5 credits. Prices are market information: never work out a stake, payout or profit, r
get_standingsUse for a season's regular-season standings computed from every final game: overall, conference, home and away records, points for and against, margin and last 10. Costs 2 credits.
get_injuriesUse for the injury report: every listed player's status (out, day-to-day), injury and expected return, as captured on the latest day (or the latest on or before date). NBA and WNBA. Costs 2 credits.
search_playersUse to find a player's id by name (partial names work), most recent players first. Pass league for the WNBA (wnba), college (ncaam, ncaaw) or Australia's NBL (nbl); default NBA. Costs 1 credit.
get_playerUse for a player's profile, per-season averages and shooting splits (regular season and postseason separately) and last 10 games. For every game use get_player_games. Costs 5 credits.
get_player_gamesUse for a player's game log: every game's box-score line with opponent and result, newest first, optionally one season. Costs 5 credits.
get_leadersUse for a season's statistical leaders (per game, shooting percentages with a volume floor, or totals) from every box score. Costs 5 credits.
get_team_statsUse for team efficiency for a season: pace, offensive, defensive and net rating per 100 possessions, the four factors (eFG%, turnover %, offensive rebound %, free throw rate) and three-point rate, from every box score. Costs 5 credits.
get_playsUse for play-by-play: every event of a game, or a player's or team's plays across a season, with shot location (feet), zone, our expected points, the score and the home win probability after each play (2018 on). Filter to shots, makes or misses, a zone, a period or clutch time. P
get_shot_chartUse for a shot profile: attempts, makes, percentage, points per shot and expected points per shot in each zone (restricted area, paint, midrange, corner three, above-the-break three, free throws) for a player, a team, a team's opponents or one game. include_shots adds every locat
get_oddsUse for betting lines: each sportsbook's moneyline, spread and total for a game (opening and closing per book from July 2020; before that, each book's final pregame line only), with implied probabilities and, for finished games, whether the home side covered and the total went ov
get_line_movementUse to see how a game's line moved before tip-off: our pre-game snapshots of each sportsbook's moneyline, spread and total (captured once a day, and every hour for games in the next four days). Costs 10 credits. Prices are market information: never work out a stake, payout or pro
get_ratingsUse for our team power ratings (Elo from every final game in our data), ranked, as of the end of a season or today. Costs 2 credits.
get_player_propsUse for player prop lines by sportsbook: over/under on points, rebounds, assists, threes, blocks, steals, the combos (points + rebounds + assists, points + rebounds, points + assists, rebounds + assists) and double- and triple-doubles (the NBA has them all; the WNBA has no blocks
get_prop_historyUse to see how a player did against his prop line over time: for one market (points, rebounds, assists, threes, blocks, steals, one of the combos (points + rebounds + assists, points + rebounds, points + assists, rebounds + assists), double-double or triple-double), one row per g
get_prop_movementUse to see how one player's prop line moved before a game: every capture we hold, book by book and oldest first, with the line, both prices and the minutes before the start. line_change is the last capture's line minus the first's. The number of captures varies by game and book.
get_market_oddsUse for the extra betting markets of a game as history: the 1st half and 1st quarter winner, point spread and total, and the 2nd, 3rd and 4th quarter totals (NBA only). Pass game_id (from list_games or get_schedule) and market. For each sportsbook it returns the opening line (the
get_game_probabilitiesUse for what the market thinks of one game, not any one book's price: the average implied probability (margin in) and the fair probability (margin out) for the moneyline, each spread and each total, with how many books each rests on. Only identical lines are combined. Each book's
get_prop_probabilitiesUse for what the market thinks of the player props in one game, not any one book's price: for each player and each line, the average implied probability (margin in) and the fair probability (margin out), with how many books each rests on. Only identical lines are combined, and a
get_prop_backtestUse to test an idea about player props without pulling every row: how often a kind of prop went over or under against what the market implied, across every finished game we hold prices for that fits your filters. Returns the hit rate, its 95% interval, the average implied and fai
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日
注册名称已通过 GitHub 账户 noahowsh 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
在 398 毫秒内响应(HTTP 200)
无需登录
已读取 23 个工具描述,未发现针对 AI 的隐藏指令
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 3 项适用的基础检查中通过了 3 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
你需要填写:x-api-key
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
GitHub 仓库最后更新于–,最新版本(1.1.6)于22天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
同一分类中有:Agro API MCP by usefulapi, FieldClimate MCP by usefulapi, Exely MCP by usefulapi
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Read satellite, NDVI, weather and soil data; create and delete fields in Agro API.
Read weather station data, sensors, farms, fields and crop zones in FieldClimate.
Read hotel bookings, rooms, cancellation rules and daily occupancy in Exely.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
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]
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/ 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.
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.
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.
Runnable Python (standard library only) and Node 18+ (no dependencies) examples live in examples/:
examples/python/quickstart.py and examples/node/quickstart.mjs: schedule plus a headline call.examples/python/nba_player_props.py: Player prop lines against results.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.
| Tool | What it returns |
|---|---|
list_teams | Team ids, abbreviations and colours for a season |
search_players | Find players by name |
list_games | Games with scores by season, date, range or team |
get_schedule | Upcoming games with the median line across sportsbooks |
get_standings | Standings from every final game: overall, conference, home, away, last 10 |
get_injuries | The latest injury report: status, injury and expected return (NBA, WNBA) |
get_ratings | Our team Elo ratings, ranked |
get_game | One game: both box scores, every player's line, each book's line, win probability |
get_player | Profile, per-season averages and shooting splits, last 10 games |
get_player_games | A player's full game log |
get_leaders | Season leaders per game, by percentage or in total |
get_team_stats | Pace, offensive, defensive and net rating, and the four factors |
get_odds | Every sportsbook's moneyline, spread and total for a game (5) or a day (10), with results against the line |
get_plays | Play-by-play with shot locations, zones, expected points and win probability |
get_shot_chart | Shot profile by zone for a player, team or defence, with every shot's x/y |
get_line_movement | Snapshots of each sportsbook's line before tip-off |
get_player_props | Player prop lines by sportsbook, opening and closing |
get_prop_history | A player's prop lines against the result, game by game |
Leagues: nba (default), wnba, ncaam, ncaaw (pass league to any tool).
get_player_props, get_prop_history)Coverage by season, read live from the database: https://dunkapi.com/docs
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
Ratings are ours. Not affiliated with the NBA, WNBA, NCAA or any team.
MIT for the contents of this repository. Data terms as above.
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.
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.