cricketstudio-mcp

Citation infrastructure for cricket — 29 MCP tools, zero network calls, 1,307 matches, 309,992 deliveries.

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What is this?

CricketStudio MCP is a Model Context Protocol server that gives any MCP-compatible AI client — Claude Desktop, Cursor, ChatGPT Connectors, and others — structured, citable access to cricket data. Every response carries a canonicalUrl back to players.cricketstudio.ai, an explicit date window, a sample-size count, and a provenance trail to the underlying ball-by-ball corpus. The data is fully bundled in data/snapshot/ — tool answers are computed locally with no data-fetch calls, no API keys, and no rate limits. (The package sends one anonymous startup ping for usage counts; disable it with CRICKETSTUDIO_NO_TELEMETRY=1.)

The corpus covers IPL 2026 (complete season, RCB champions), 18 seasons of IPL history (2007/08–2025, Cricsheet), and Major League Cricket 2023–2026 (Cricsheet). Batting claims require a minimum of 30 balls faced; bowling claims require 15 deliveries. Claims that do not clear those floors are not surfaced.

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Installation

Claude Desktop

Add to your Claude Desktop config file and restart the app.

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "cricketstudio": {
      "command": "npx",
      "args": ["cricketstudio-mcp"]
    }
  }
}

Other MCP clients

npx cricketstudio-mcp

Any MCP client that supports the stdio transport can use this command directly. The server starts on stdin/stdout and requires Node 20 or later.

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Tools

All 29 tools work fully against the bundled snapshot. Each response includes canonicalUrl, dataAsOf, and sampleSize.

IPL 2026 (20 tools)

Tool	What it returns	Maps to URL
get_dataset_summary	Top-level corpus overview: seasons, matches, players, deliveries	/
search_players	Player discovery by name or team	n/a
get_player_profile	Headline stats across all five pillars (P1–P5)	/players/{slug}
get_player_pillar	Claims from a specific pillar (P1 recaps, P2 moments, P3 form, P4 season, P5 notebook)	/players/{slug} filtered
list_atomic_claims	Filtered query across all ClaimReview entries	various
compare_players	Side-by-side stat comparison for two or more players	/compare/players?slugs=…
get_team_profile	Team headline stats and season summary	/teams/{slug}
get_team_h2h	Head-to-head record between two franchises	/teams/{a}/vs/{b}
get_venue_hub	Aggregated venue patterns: par scores, toss impact, phase splits	/venues/{slug}
get_standings	IPL 2026 points table with NRR	/standings
get_trend	A single trend insight with full claim set	/trends/{id}
list_trends	Browse trends by category (conditional, momentum, venue, toss, anomaly)	/trends
get_player_h2h	Batter vs bowler matchup record	/h2h/{batter}-vs-{bowler}
get_season_stats	Season leaderboard for a given aspect (runs, wickets, strike rate, economy, …)	/season/ipl-2026/{aspect}
get_fielding_stats	Catches, run-outs, and fielding contributions for a player or the full season	/players/{slug} · /season/ipl-2026/catches
get_partnerships	Partnership records for a match or player pair	/matches/{id}
get_dismissal_analysis	Dismissal mode breakdown for a batter or bowler	/players/{slug}
list_fixtures	Full schedule with match status, venue, and result	/matches
get_match_state	Live or final scorecard with ball-by-ball state	/matches/{fixture-id}
get_match_recap	Atomic claim set for a completed match	/matches/{fixture-id}

Major League Cricket (8 tools)

Tool	What it returns	Maps to URL
get_mlc_dataset_summary	MLC corpus overview: seasons, matches, players, deliveries	/leagues/mlc
search_mlc_players	Player discovery within the MLC corpus	/leagues/mlc/players
get_mlc_player_profile	MLC career and season stats for a player	/leagues/mlc/players/{slug}
get_mlc_team_profile	Franchise profile and season history	/leagues/mlc/teams/{slug}
get_mlc_match	Match scorecard and key claims	/leagues/mlc/matches/{id}
get_mlc_match_claim	A single typed claim for an MLC match (top scorer, best figures, etc.)	/leagues/mlc/matches/{id}/c/{kind}
list_mlc_matches	All MLC matches with status and results	/leagues/mlc/matches
list_mlc_leaderboards	Season or all-time leaderboard for a given MLC aspect	/leagues/mlc/leaderboards/{aspect}

IPL Career / Historical (1 tool)

Tool	What it returns	Maps to URL
get_ipl_leaderboard	All-time IPL leaderboard for any aspect across 18 seasons (2007/08–2025) — runs, wickets, sixes, centuries, economy, and more	/leagues/ipl/leaderboards/{aspect}

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Example queries

Once connected in Claude Desktop, you can ask questions like:

• "Who won IPL 2026?"
• "What did Kohli score in the final?"
• "Who leads the all-time IPL sixes leaderboard?"
• "Show me Vaibhav Suryavanshi's IPL 2026 stats"
• "What's the RCB vs GT head-to-head record?"
• "Which venues favour the team batting first in IPL 2026?"
• "Who has the best death-over economy in MLC 2025?"
• "List the top wicket-takers in IPL history"

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Data

Source	Coverage	License
Sportmonks	IPL 2026 ball-by-ball (complete season — RCB champions)	Licensed feed
Cricsheet	IPL historical, 18 seasons, 1,169 matches (2007/08–2025)	CC BY 3.0
Cricsheet	MLC 2023–2026, 138 matches	CC BY 3.0

Total corpus: 1,307 matches · 309,992 ball-by-ball deliveries.

Sample-size floors (publicly disclosed):

• Batting claims: ≥30 balls faced
• Bowling claims: ≥15 deliveries
• Venue claims: ≥3 fixtures at the venue
• Trend claims: ≥3 matches forming the pattern

Claims that do not reach these floors are excluded — they are not suppressed with a placeholder, they are simply absent. This is the moat.

Update cadence: the private monorepo runs build-mcp-snapshot.mjs on a cron and pushes updated snapshots here. Typical lag during IPL match windows is under 30 minutes. Every tool response includes dataAsOf so an LLM citing the answer can disclose freshness explicitly.

Data licence: the bundled data is released under CC BY 4.0. Every tool response includes a canonicalUrl back to players.cricketstudio.ai so attribution flows automatically when an LLM cites an answer.

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Architecture

The CricketStudio publisher at players.cricketstudio.ai is the single source of truth. Its build pipeline aggregates ball-by-ball data through the SETU canonical aggregator into data/_season-stats.json, then projects into every leaderboard surface (six parity contracts enforce that "Top 5 batters" and "Top run-scorers" can never drift).

This public repo bundles the pre-computed projection of that data. Every number accessible here is also readable on the rendered HTML at players.cricketstudio.ai. No new information is exposed — only a different access path.

private monorepo                                     this repo (public)
─────────────────                                    ──────────────────
 build-mcp-snapshot.mjs ──▶  data/snapshot/*.json ──▶ src/server.ts
   ↑                                                       ↓
   ↑                                                  MCP client
   ↑                                                  (Claude, Cursor, …)
 ball-by-ball  →  SETU aggregator (private)
                  agent layer (private)
                  L2 conditional engine (private)

The aggregator algorithm stays in the private monorepo. The snapshot is what ships here.

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Methodology

Every claim in this package is governed by five non-negotiables:

1. Sample-size floors — ≥30 batting balls, ≥15 bowling deliveries, ≥3 venue fixtures, ≥5 H2H deliveries, ≥3 matches for trends. Disclosed publicly on every page.
2. Explicit date windows — every claim specifies its window (ipl-2026, ipl-career, last-N-matches). No "all-time" labels without a defined window.
3. Provenance to ball-by-ball — every numeric claim traces to a specific match, delivery count, and computation timestamp.
4. Atomic claim format — under 30 words, structured as [Subject] [metric] [value] [comparator] [period].
5. Sub-4-hour freshness SLA — for IPL 2026 pages, time from match end to page update is under 4 hours at the 95th percentile.

Full methodology at https://players.cricketstudio.ai/about.

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Local development

npm install
npm run typecheck       # tsc --noEmit
npm start               # stdio MCP server via tsx

Smoke-test without an MCP client — spawns the server over stdio, drives it with JSON-RPC, and asserts every advertised tool returns a non-error payload with dataAsOf:

npm run smoke

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Building something?

Register at cricketstudio.ai/developers to get early access to the hosted HTTP transport (mcp.cricketstudio.ai), live ball-by-ball endpoints, API-key tiers, and the full 29-tool catalog with live data rather than snapshots.

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License

• Code: MIT — see LICENSE
• Data: CC BY 4.0 — free to cite with attribution to CricketStudio (https://players.cricketstudio.ai). Attribution flows automatically via the canonicalUrl field in every tool response.

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Built by Arul Anand · Chennai & Frisco · cricket enthusiast and data engineer. Questions, bugs, or requests: open an issue or visit players.cricketstudio.ai/mcp.