@pipeworx/cricsheet
Connect: https://pipeworx.io/mcp — every tool in the catalog, including @pipeworx/cricsheet’s. Install: one-click buttons
Connect to just the @pipeworx/cricsheet pack
https://gateway.pipeworx.io/cricsheet/mcp — only @pipeworx/cricsheet’s own tools, nothing else in the catalog.
No MCP client? Skip the connection: POST https://gateway.pipeworx.io/v1/tools/search_packs {"query":"..."} to find a tool below, GET /v1/tools/<name> for its schema, POST the same URL with arguments for the data — see For AI agents.
Tools: 4
Ball-by-ball cricket data collapsed to the questions people actually ask: a match’s result and scorecard, a player’s career batting/bowling aggregates, and a head-to-head record between two teams. Covers Test matches, One Day Internationals, T20 Internationals, and the Indian Premier League. Fleet #2975.
Tools
cricsheet_match(match_id)— one match’s full result plus, for every innings, the batting card (each batter’s runs/balls/4s/6s/how out) and bowling card (each bowler’s overs/runs/wickets). Usecricsheet_find_matchesfirst to get amatch_id.cricsheet_player_stats(player, format?)— a cricketer’s career batting and bowling aggregates (matches, runs, average, strike rate, 100s/50s; wickets, bowling average, economy).playeris matched case-insensitively as a substring against the short-form names this pack stores (e.g. “Kohli” for “V Kohli”); an ambiguous query returns a candidate list instead of guessing. Optionally scope to oneformat.cricsheet_head_to_head(team_a, team_b, format?, limit?, offset?)— total matches, each team’s wins, ties/no-results, and the most recent matches with their results. Team names must match Cricsheet’s own strings (e.g."India","Mumbai Indians").cricsheet_find_matches(team?, format?, season?, venue?, player?, limit?, offset?)— search the match index to discovermatch_ids. With no filters, returns the most recent matches held across every format.
format accepts "Test", "ODI", "T20I" (international T20), or "IPL"
(case-insensitive); omit it to search across all four.
What this pack does not do: it does not return individual deliveries (ball-by-ball). Every match file is parsed ball-by-ball once, at load time, and collapsed into match / innings / batting-card / bowling-card rows — storing every ball for ~11,000 matches would multiply the row count by roughly 150-200x for a question (“who scored what, who took which wickets”) that the scorecard already answers.
Auth
Keyless. The tools answer only through the Pipeworx gateway, which holds the
data; a standalone npm install has no data to read, and every tool throws
a clear “not bound in this runtime” error there instead of returning an
empty list.
Data sources
- Cricsheet — ball-by-ball match data for Test cricket, One Day
Internationals, T20 Internationals, and the Indian Premier League.
Licence: ODC Attribution License (ODC-BY) — free to share, adapt and
use (including commercially) with attribution to Cricsheet. Cricsheet
publishes bulk per-match files only (no live API), so this pack builds a
copy (
scripts/cricsheet/load-data.mjs) into a D1 database rather than proxying per request, per CLAUDE.md’s “build the copy” rule for a bulk-only source.
Known gaps — read before extending this pack
Only four of Cricsheet’s ~60 competitions are loaded. Cricsheet also
publishes first-class, List A, and ~50 domestic T20 leagues (Big Bash, T20
Blast, Pakistan Super League, Caribbean Premier League, The Hundred, and so
on) as separate bulk files. This pack loads the four with the clearest
cross-format demand (international Test/ODI/T20I plus the IPL, the league
named explicitly in the originating demand signal). Adding another league is
one more entry in BULK_FILES in the loader, using the same
match-type-agnostic parser.
Women’s matches are included wherever Cricsheet’s own bulk file includes
them, distinguished by the gender field Cricsheet carries per match — not
filtered out, not separately tooled.
Player identity is the raw name string Cricsheet uses (e.g. “V Kohli”,
“SR Watson”) — short forms, not full names, and this pack does not maintain
its own name-to-person mapping beyond what cricsheet_player_stats’s
substring match provides. Two different people sharing a short-form name
(rare, but not impossible across ~8,400 distinct names) would merge under
that string; nothing in Cricsheet’s own files beyond the registry ID (not
currently loaded) resolves that.
Super overs are stored as extra innings entries, exactly as Cricsheet’s
own innings array represents them (a tied T20 can have 3 or 4 innings
entries) — cricsheet_match returns whatever innings Cricsheet’s file has,
including super-over ones.
Refreshing or extending the data
Re-run node scripts/cricsheet/load-data.mjs (needs wrangler logged in to
the Pipeworx Cloudflare account, and CLOUDFLARE_ACCOUNT_ID set when more
than one account is visible) — it re-fetches every format live and replaces
every table (DROP + reload), because Cricsheet corrects historical files
rather than versioning them. --only <Test|ODI|T20I|IPL> reloads a single
format; --dry-run parses and prints counts without touching D1, useful
after changing the parser. Cricsheet adds new matches continuously (for
international and IPL cricket, typically within a day of the match); re-run
the loader periodically to pick those up — data_as_of in every tool
response names the load it is reading.
Tools
- cricsheet_match — One match’s full result and batting/bowling scorecards by match_id.
- cricsheet_player_stats — A cricketer’s batting/bowling career aggregates, optionally scoped to one format.
- cricsheet_head_to_head — Win/loss head-to-head record between two teams, optionally scoped to one format.
- cricsheet_find_matches — Search matches by team/format/season/venue/player to get match_ids.
Tools
cricsheet_find_matches— Search matches by team/format/season/venue/player to get match_ids.cricsheet_head_to_head— Win/loss head-to-head record between two teams, optionally scoped to one format.cricsheet_match— One match's full result and batting/bowling scorecards by match_id.cricsheet_player_stats— A cricketer's batting/bowling career aggregates, optionally scoped to one format.