nutmeg

IN BETA!

Football data analytics for AI coding tools

Makes your AI agent an expert at football data. It looks up the real docs instead of guessing — qualifier IDs, coordinate systems, API endpoints, method signatures. All verified, all sourced.

Get started

Answer two questions and we'll show you exactly what to install.

What AI coding tool do you use?

What do you want?

Start here

/nutmeg

Describe what you want — it handles the rest

/nutmeg-learn

Concepts, resources, provider docs

Sub-skills auto-dispatched or called directly

/nutmeg-acquire

Fetch and download football data

/nutmeg-wrangle

Transform and reshape data

/nutmeg-compute

Derived metrics (xG, PPDA...)

/nutmeg-analyse

Explore and interpret data

/nutmeg-brainstorm

Visualisation ideation

/nutmeg-review

Check data code and charts

/nutmeg-store

Storage and publishing

/nutmeg-heal

Fix broken scrapers and pipelines

Providers

Provider	Events	Stats	xG	Free?
StatsBomb				Open data
Opta
Wyscout
SportMonks				Free tier
FBref
Understat

football-docs

IN BETA!

Like Context7 for football data

Searchable documentation across 26 football data providers and tools, built for AI coding agents. Covers club and provider APIs including StatsBomb, Wyscout, SportMonks, Impect, SkillCorner, Sportradar, Driblab, ESPN, TheSportsDB, BeSoccer, FMDB Pro, TransferRoom, Opta, public/free sources and the Reep identity register, plus open-source libraries people build with too (kloppy, mplsoccer, socceraction, soccerdata, databallpy, floodlight, fast-forward, unravelsports, and more). Your agent resolves provider names, looks up the real docs, compares provider concepts, and resolves football entities across provider IDs instead of guessing from training data. Works with any MCP client.

2855

searchable chunks

providers + tools

MCP tools

v0.12.2

npm version

GitHub repo npm package

Install

Claude Code

Adds football-docs to the current Claude Code project.

claude mcp add football-docs -- npx -y football-docs@latest

Claude Code user scope

Use this when you want football-docs available across all Claude Code projects.

claude mcp add --scope user football-docs -- npx -y football-docs@latest

MCP JSON

Use this shape in clients that accept MCP server JSON config.

{
  "mcpServers": {
    "football-docs": {
      "command": "npx",
      "args": [
        "-y",
        "football-docs@latest"
      ]
    }
  }
}

Requires Node 20+. Restart your client, then ask use football-docs to look up Opta qualifier 76.

Tools

search_docs

Full-text search across all providers

resolve_provider_id

Resolve provider names and aliases

get_provider_docs

Retrieve docs for a resolved provider

list_providers

See all indexed providers

compare_providers

Compare how providers handle concepts

request_update

Flag outdated docs or request new ones

resolve_entity

Map players, teams, matches and more across provider IDs via Reep

Example queries

"What is Opta qualifier 76?"
"How does StatsBomb represent shots?"
"Compare Opta and Wyscout coordinates"
"Does SportMonks have xG?"
"How does SPADL represent a tackle?"

Indexed providers

SportMonks

567 chunks

Sportradar

480 chunks

fast-forward

250 chunks

StatsBomb

237 chunks

unravelsports

202 chunks

Wyscout

165 chunks

floodlight

144 chunks

kloppy

126 chunks

Impect

79 chunks

Opta

73 chunks

mplsoccer

65 chunks

Free sources

65 chunks

databallpy

63 chunks

SkillCorner

51 chunks

TransferRoom

45 chunks

soccerdata

40 chunks

FMDB Pro

37 chunks

socceraction

34 chunks

Driblab

32 chunks

Reep

28 chunks

ESPN

21 chunks

TheSportsDB

20 chunks

BeSoccer

16 chunks

FotMob

5 chunks

Soccerdonna

5 chunks

Transfermarkt

5 chunks

What's new this release

v0.12.2 shipped — on npm now

Sportradar’s full soccer docs shipped

Sportradar goes from a handful of summary pages to its full soccer documentation: the integration guide (auth, coverage tiers, ID handling, match status, update frequencies, push feeds, historical data) and the Soccer Extended v4 endpoint reference with every data-point table. 480 searchable sections, crawled from the llms.txt indexes Sportradar now publishes, with endpoints checked against its OpenAPI specs. Probabilities and odds stay out of the index.

Where each provider’s data comes from shipped

Every data provider now has a short provenance note: collected in-house, licensed, aggregated or derived, quoted from the provider’s own pages with a date. Where a provider does not say, the note says so rather than guessing. Ask “where does StatsBomb get its data” and your agent gets the answer with its source.

Search keeps its answers full shipped

A very specific match used to crowd out everything else, so a search could return one result instead of five. search_docs, get_provider_docs and compare_providers now fill the remaining slots from a broader search, most specific matches first.

campos

IN BETA!

React components for football, typed and agent-native

23 React chart components, 10 data-provider adapters, one canonical coordinate frame, zero-config defaults. Typed from schema to render. Every chart is agent-discoverable via a static JSON registry at campos.withqwerty.com/r/ — nutmeg proposes and composes campos charts automatically when it detects a React project. Docs and live demos at campos.withqwerty.com.

chart components

data adapters

2333

tests

npm packages

Drives from nutmeg, automatically

When nutmeg detects a React project (package.json contains react or @withqwerty/campos-react), it loads a shared bridge doc, fetches the registry above, and proposes campos charts with real capability data per provider. Chart output, adapter selection, and recipe suggestion all route through the live catalogue — no hallucinated props, no training-data drift. See nutmeg on GitHub for the bridge reference.

nutmeg

Get started

football-docs

campos

Start building with football data