nutmeg

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
ProviderEventsStatsxGFree?
StatsBomb Open data
Opta
Wyscout
SportMonks Free tier
FBref
Understat

football-docs

football-docs

IN BETA!
Like Context7 for football data

Searchable documentation across 20 football data providers and tools, built for AI coding agents. Covers club and provider APIs including StatsBomb, Wyscout, SportMonks, Impect, SkillCorner, Sportradar, TheSportsDB, FMDB Pro, TransferRoom, Opta, and public/free sources, plus open-source libraries people build with too (kloppy, mplsoccer, socceraction, soccerdata, databallpy, floodlight, 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.

1346
searchable chunks
20
providers + tools
7
MCP tools
v0.6.3
npm version
Install
Claude Code

Adds football-docs to the current Claude Code project.

claude mcp add football-docs -- npx -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Flag outdated docs or request new ones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, and coaches across provider IDs
Example queries
Indexed providers
StatsBomb
237 chunks
Wyscout
164 chunks
floodlight
145 chunks
kloppy
126 chunks
SportMonks
85 chunks
Opta
74 chunks
mplsoccer
64 chunks
databallpy
63 chunks
Free sources
62 chunks
Impect
58 chunks
SkillCorner
52 chunks
TransferRoom
43 chunks
soccerdata
41 chunks
FMDB Pro
36 chunks
Sportradar
29 chunks
socceraction
27 chunks
TheSportsDB
18 chunks
Transfermarkt
8 chunks
FotMob
7 chunks
Soccerdonna
7 chunks

campos banner

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.

23
chart components
10
data adapters
2333
tests
5
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.

Start building with football data

Install in 30 seconds. Your AI agent becomes a football data expert.

/plugin marketplace add withqwerty/plugins /plugin install nutmeg@withqwerty