Calibrated world model for AI agents. 40 tools: world state, markets, trading. Kalshi + Polymarket.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"simplefunctions-mcp-server": {
"command": "<see-readme>",
"args": []
}
}
}Are you the author?
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Prediction market intelligence from the terminal. Build causal thesis models, scan Kalshi & Polymarket for mispricings, and trade.
No automated test available for this server. Check the GitHub README for setup instructions.
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sf)Reference and issue mirror for @spfunctions/cli, the supported SimpleFunctions command-line interface for prediction-market infrastructure.
The current CLI is distributed through npm. Install the package and treat the installed sf binary as the source of truth:
npm i -g @spfunctions/cli
sf login
sf status --json
sf world --json
sf describe --all --json
sf is the primary local surface for SimpleFunctions. It queries live Kalshi + Polymarket state, inspects markets and orderbooks, exports structured JSON for coding agents, runs thesis and portfolio workflows, and keeps execution commands explicit and permission-gated.
@spfunctions/cli.sf surface.Use sf describe --all --json for the installed command manifest. Use https://simplefunctions.dev/api/internal/statistics for current public surface counts.
sf status --json
sf world --json
sf discover --quality --json
sf inspect <ticker> --json
If a command is unavailable in your installed version, run:
npm i -g @spfunctions/cli@latest
sf describe --all --json
The public mirror is MIT-licensed. The supported npm distribution may include private SimpleFunctions runtime code.