Pitch Queens MCP
LocalAbout Pitch Queens MCP
Pitch Queens MCP is a read-only server that gives AI clients verified information about the independent 2027 Women's World Cup simulator, including its rules and public entry points. It explains the game but does not run simulations or return live odds.
Key features
- 01Game rules and modes
- 02Public entry points and constraints
- 03FAQ and official links
- 04Read-only tools, resources, and prompts
Use cases
- 01Explain how the simulator works
- 02Find the entry point for a game mode
- 03Plan a play-through using published rules
MCP support
Exposes Pitch Queens rules, FAQ, links, and prompts to MCP-compatible clients through read-only tools and resources. It does not run simulations or submit picks.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEPitch Queens MCP Server
Women's World Cup 2027 Simulator, Bracket & Predictions
A Model Context Protocol server that exposes the canonical Pitch Queens knowledge surface — game rules, modes, constraints, and entry points, FAQ, official links — to MCP-compatible AI clients such as Claude Desktop, Cursor, Windsurf, and Continue. Read-only, with no API keys or usage quota required.
Official website: https://pitch-queens.pages.dev
🎮 About Pitch Queens
Pitch Queens is a free, independent simulator and prediction game for the 2027 Women's World Cup in Brazil. Its public tools include a full-tournament simulator, bracket predictor, browser-computed title odds, a daily challenge, private leagues, qualification status, and team pages.
The current pre-draw field combines confirmed teams with projected qualifiers so a complete 32-team tournament can be simulated before qualification and the official draw are final. Team strength ratings and probabilistic match results are site-authored entertainment projections, not official forecasts, betting advice, or statements about the final field.
This MCP exposes the documented rules, entry points, and projection boundaries as read-only context. It does not run a simulation, submit a daily pick, create or join a league, or return live odds. Pitch Queens is an independent fan project and is not affiliated with FIFA.
Tools
get_game_rules
Return the verified game rules, modes, constraints, and public entry points the site exposes. (Pitch Queens)
Input: no parameters. Returns: text/markdown.
get_official_links
Return the canonical list of official links for Pitch Queens (website, support, docs when available).
Input: no parameters. Returns: text/markdown.
Resources
site://pitch-queens/rules— Verified game rules, modes, constraints, and public entry points.site://pitch-queens/faq— Short FAQ generated from public site metadata.site://pitch-queens/links— Canonical URLs to share with users.
Prompts
tell_me_about_pitch_queens
Summarize what the site is, who it's for, and how it works. — Pitch Queens
plan_a_run_pitch_queens
Plan a single play-through using verified rules and entry points. — Pitch Queens
Installation
Install via Smithery
npx -y @smithery/cli install pitch-queens-mcp --client claude
(Replace claude with cursor, windsurf, or continue for those clients.)
Install from source
git clone https://github.com/rocnubie/pitch-queens-mcp.git
cd pitch-queens-mcp
pnpm install
Then add to your MCP client config (claude_desktop_config.json for Claude Desktop, mcp.json for Cursor / Windsurf / Continue):
{
"mcpServers": {
"pitch-queens-mcp": {
"command": "node",
"args": [
"/absolute/path/to/pitch-queens-mcp/src/index.mjs"
]
}
}
}
Debug with MCP Inspector
npx @modelcontextprotocol/inspector node src/index.mjs
Official Links
- Website: https://pitch-queens.pages.dev
- About: https://pitch-queens.pages.dev/about
Development
pnpm install
pnpm start # run the server over stdio
License
MIT
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.