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MCP server for Savvy Scratch — scratch-off lottery game analysis powered by pro gambler methodology
About
MCP server for Savvy Scratch — scratch-off lottery game analysis powered by pro gambler methodology
Security Report
7.0
Moderate7.0Low RiskValid MCP server (4 strong, 5 medium validity signals). 3 known CVEs in dependencies (0 critical, 3 high severity) Package registry verified. Imported from the Official MCP Registry.
8 files analyzed · 4 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-myque08-savvyscratch": {
"args": [
"-y",
"@savvyscratch/mcp-server"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
Savvy Scratch MCP Server
Install
Claude Desktop
Open your claude_desktop_config.json:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
Add the Savvy Scratch server:
{
"mcpServers": {
"savvyscratch": {
"command": "npx",
"args": ["-y", "@savvyscratch/mcp-server"]
}
}
}
Restart Claude Desktop. You're done.
Claude Code
Add to your project's .mcp.json (or run claude mcp add):
{
"mcpServers": {
"savvyscratch": {
"command": "npx",
"args": ["-y", "@savvyscratch/mcp-server"]
}
}
}
Other MCP-compatible clients
Any client that supports stdio MCP servers can run:
npx -y @savvyscratch/mcp-server
What is this?
An MCP (Model Context Protocol) server that gives AI assistants access to Savvy Scratch — pro-gambler-grade analysis of scratch-off lottery games across 19 U.S. states.
Register, sign in, browse live game data, and subscribe — all through natural conversation with your AI. Zero configuration required.
First-time setup (through your AI)
Once installed, just talk to your AI:
- "Register a Savvy Scratch account for me" → AI uses the
registertool - "What scratch-off games should I play in Florida?" → AI uses
login+get_games - "Subscribe me to Savvy Scratch" → AI uses
get_subscribe_link
No API keys. No env vars. Your account lives in your AI session.
Tools
Auth & Account
| Tool | Description |
|---|---|
register | Create a new Savvy Scratch account |
login | Sign in with email and password |
logout | Sign out |
check_subscription | View subscription status and plan details |
get_subscribe_link | Get a link to subscribe |
Game Analysis
| Tool | Description | Free | Subscriber |
|---|---|---|---|
list_states | List all 19 covered states | Full | Full |
get_games | Get scratch-off games for a state | Top 3 | All games |
game_details | Detailed prize breakdown for a game | Locked | Full |
best_games | Best games for a budget and state | Top 3 | All matches |
Pricing
Free accounts see top-3 previews in every state. A Savvy Scratch subscription ($5/mo or $50/yr) unlocks:
- All games in all 19 states
- Detailed prize-tier breakdowns with live remaining prizes
- Budget-optimized recommendations ranked by weighted score
- Pro gambler methodology applied to every game
Example Conversation
You: What scratch-off games should I play in Florida?
AI: [calls login, then get_games with state=fl]
Shows top 3 games with scores and odds...
"Subscribe to see all 100 games. Use get_subscribe_link to get started."
You: I have $10 to spend in Georgia, what's best?
AI: [calls best_games with state=ga, budget=10]
Shows top-rated games at $10 or under ranked by weighted score
You: Show me the prize breakdown for Atlanta Falcons
AI: [calls game_details with state=ga, game_name="Atlanta Falcons"]
Full prize tier breakdown with remaining prizes and adjusted odds
Build from source
git clone https://github.com/myque08/savvymcp.git
cd savvymcp
npm install
npm run build
node dist/index.js
Links
- npm package: https://www.npmjs.com/package/@savvyscratch/mcp-server
- Website: https://www.savvyscratch.com
- GitHub: https://github.com/myque08/savvymcp
- Report issues: https://github.com/myque08/savvymcp/issues
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