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CricketStudio MCP

Query bundled cricket datasets locally through MCP tools covering IPL, MLC, WPL, and historical competitions.

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Install CricketStudio MCP

Pick your client, then add it in one click or paste the config.

STDIONode.js
~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "cricketstudio-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "cricketstudio-mcp"
      ]
    }
  }
}

Settings → Developer → Edit Config, merge this into mcpServers, then fully quit and reopen Claude Desktop.

Automated check passed— started and listed 57 tools correctly (10d ago).

Overview

CricketStudio MCP MCP server exposes structured cricket data to MCP-compatible clients through local stdio tools. It bundles datasets for IPL, MLC, WPL, T20 World Cup, BBL, and PSL, with player, team, match, leaderboard, trend, and comparison queries. Responses include citation metadata such as canonical URLs, date windows, sample sizes, and provenance. Reach for it when an agent needs cricket statistics or match analysis without API keys, network data calls, or rate limits.

Use cases

  • Compare cricket players across IPL statistics
  • Inspect a match scorecard and recap
  • Find league leaders by batting or bowling metric
  • Analyze team, venue, or player head-to-head records
  • Search historical cricket datasets locally

Key features

  • Bundled local cricket data snapshot
  • IPL historical and 2026 statistics
  • MLC, WPL, T20 World Cup, BBL, and PSL queries
  • Player, team, match, venue, and trend tools
  • Citation metadata and provenance fields
  • No API key or runtime data-fetch calls

Tools57

What CricketStudio MCP lets your agent do. Expand a tool for its parameters.

Verified live~6.8k tokens of context

Security & health

What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.

ActiveLast checked Today

Recent health check succeeded.

9/9 checks healthy over the last 45d

What it can do

From the 57 tools this server returned when we ran it.

Runs commands · 4Makes network requests · 19Read-only tools · 53
Network at startup3 connections
Files written at startup1
Install scriptsprepare
npm provenanceNot published
Package age136 days
Maintainers1

Observed 2026-10-18 in an isolated sandbox. A description of reach, not a security audit.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 2d ago via OSV.dev · cricketstudio-mcp (npm)

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars2Stargazers on the source repository.
npm downloads239Package downloads in the last 30 days.
Last commit2mo agoMost recent push to the default branch.
Availability100%Our rolling endpoint + install checks that succeeded.
Install checkPassedOur sandbox started it and listed its tools.
Tools exposed57Callable tools this server registers over MCP.
Directory activity1 viewsConfig copies, upvotes, and views on AllMCPs.

How CricketStudio MCP works

What CricketStudio MCP does

CricketStudio MCP MCP server gives MCP-compatible AI clients access to a bundled cricket-data snapshot. The corpus includes IPL 2026, 18 historical IPL seasons, Major League Cricket, Women's Premier League, ICC T20 World Cup, Big Bash League, and Pakistan Super League data. Coverage includes player and team records, fixtures, scorecards, ball-by-ball-derived statistics, leaderboards, trends, head-to-head analysis, partnerships, fielding, dismissals, and match claims.

The server is designed for questions that benefit from structured evidence rather than unqualified text generation. Player profiles, player comparisons, team records, venue patterns, standings, season statistics, and league-specific searches are available through separate MCP tools. Historical IPL leaderboards and cross-league player or performance views are also supported by the documented toolset.

How it works

The package includes its data under a local snapshot, so tool responses are calculated without fetching data from a remote API. No API key or runtime rate limit is required. The server uses the stdio transport: an MCP client starts the package and communicates through standard input and output. Node.js 18 or newer is required.

Responses contain citation-oriented fields including canonicalUrl, dataAsOf, and sampleSize. Batting claims need at least 30 balls faced, while bowling claims need at least 15 deliveries; results below those thresholds are not surfaced as claims.

Setup and configuration

Run the package with:

Terminal
npx cricketstudio-mcp

For Claude Desktop, add an MCP server entry whose command is npx and whose argument is cricketstudio-mcp, then restart the application. The same command can be used by other clients that support stdio MCP servers.

The package sends one anonymous startup usage ping by default. Set CRICKETSTUDIO_NO_TELEMETRY=1 to disable that ping. No other environment variable is identified as required in the provided setup material.

Tools and capabilities

CricketStudio MCP MCP server tools cover:

  • Discovering players and retrieving player profiles, pillars, claims, fielding records, dismissal breakdowns, and batter-versus-bowler matchups.
  • Comparing players, inspecting teams and team head-to-head records, and reviewing venue patterns.
  • Reading IPL standings, season leaderboards, fixtures, match state, recaps, partnerships, and trends.
  • Querying MLC summaries, players, teams, matches, match claims, fixtures, and leaderboards.
  • Searching WPL players and retrieving the WPL dataset summary.
  • Accessing historical and cross-league statistics described in the bundled documentation, including T20 World Cup, BBL, PSL, and IPL career views.

Limitations and notes

The server answers from its bundled snapshot rather than making live data requests. Its usefulness therefore depends on the competitions and seasons included in that snapshot. Claim filters also exclude batting and bowling observations that do not meet the documented minimum sample sizes. The repository labels the software MIT and the data CC BY 4.0 in its README badges; these are separate licensing references.

Read the full README View source on GitHub

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Frequently Asked Questions about CricketStudio MCP

CricketStudio MCP is an MCP server that connects AI clients to bundled cricket datasets covering IPL, MLC, WPL, T20 World Cup, BBL, and PSL. Its main tools search players, retrieve profiles, compare records, inspect teams and matches, query leaderboards, and analyze cricket statistics locally without an API key.

Install it by running `npx cricketstudio-mcp` with Node.js 18 or newer. In Claude Desktop, add `npx` as the command and `cricketstudio-mcp` as its argument in the MCP configuration, then restart the application.

Yes, CricketStudio MCP works with Cursor because the README names Cursor as an MCP-compatible client. Configure the client to launch `npx cricketstudio-mcp` over stdio.

No, CricketStudio MCP does not require an API key. Its data is bundled locally and tool answers are computed from the included snapshot without runtime data-fetch calls or rate limits.

Disable the anonymous startup usage ping by setting `CRICKETSTUDIO_NO_TELEMETRY=1`.

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