29 MCP tools for IPL 2026, IPL historical (18 seasons), and Major League Cricket. No API key.
29 MCP tools for IPL 2026, IPL historical (18 seasons), and Major League Cricket. No API key. Exposed over MCP by the cricketstudio mcp mcp server, that capability becomes something an assistant can invoke while it works, not something you go and do afterwards.
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
Everything the assistant can do here goes through one of these:
get_dataset_summary — Top-level corpus overview: seasons, matches, players, deliveriessearch_players — Player discovery by name or teamget_player_profile — Headline stats across all five pillars (P1–P5)get_player_pillar — Claims from a specific pillar (P1 recaps, P2 moments, P3 form, P4 season, P5 notebook)list_atomic_claims — Filtered query across all ClaimReview entriescompare_players — Side-by-side stat comparison for two or more playersget_team_profile — Team headline stats and season summaryget_team_h2h — Head-to-head record between two franchisesget_venue_hub — Aggregated venue patterns: par scores, toss impact, phase splitsget_standings — IPL 2026 points table with NRRget_trend — A single trend insight with full claim setlist_trends — Browse trends by category (conditional, momentum, venue, toss, anomaly)Being a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.
Plenty of developer tooling servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. CricketStudio MCP's toolset — get_dataset_summary, search_players, get_player_profile and 11 more — is a fair guide to whether it matches your workflow. It is maintained by i-m-arul; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| get_dataset_summary | Top-level corpus overview: seasons, matches, players, deliveries |
| search_players | Player discovery by name or team |
| get_player_profile | Headline stats across all five pillars (P1–P5) |
| get_player_pillar | Claims from a specific pillar (P1 recaps, P2 moments, P3 form, P4 season, P5 notebook) |
| list_atomic_claims | Filtered query across all ClaimReview entries |
| compare_players | Side-by-side stat comparison for two or more players |
| get_team_profile | Team headline stats and season summary |
| get_team_h2h | Head-to-head record between two franchises |
| get_venue_hub | Aggregated venue patterns: par scores, toss impact, phase splits |
| get_standings | IPL 2026 points table with NRR |
| get_trend | A single trend insight with full claim set |
| list_trends | Browse trends by category (conditional, momentum, venue, toss, anomaly) |
| get_player_h2h | Batter vs bowler matchup record |
| get_season_stats | Season leaderboard for a given aspect (runs, wickets, strike rate, economy, …) |
{
"mcpServers": {
"cricketstudio": {
"command": "npx",
"args": ["cricketstudio-mcp"]
}
}
}Configuration as documented by the project. Restart the client after saving.
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