MCP serverio.github.Jorgeperez0825/v12-dfs

Issue Key Idempotently issue a user's API key and ALWAYS return the paste-able connect block. Returns the email's existing active key (or mints one) so a user keeps a single key a

Agent Guide Self-serve onboarding: connect any agent (Claude/MCP or REST) to drive the V12 motor, the same engine the dashboard agent uses. No auth. Returns copy-paste MCP + REST

Betting Agent Guide How any agent uses the MLB betting tools + how to read the output. ### Responses: **200**: Successful Response (Success Response) Content-Type: application/j

Analyze Prop Model a single player's prop vs tonight's FanDuel line -> edge. ### Responses: **200**: Successful Response (Success Response) Content-Type: application/json **422*

Best Bets THE board sweep — scans EVERY main prop market (HR/RBI/hit/total_bases/ 2+hits/stolen_base) in one call and returns the top edges across all of them, not just home runs.

Build Parlay Deterministic parlay analysis for BOTH leg shapes. Body: {legs:[...], ticket_odds?}. PROP legs {name, prop, threshold} keep the legacy correlation-aware EV. GAME-side

Cross Book Cross-book value: FanDuel vs DraftKings (DK pulled via ESPN's public API, no key/WS). LINE_SHOP (the books hang different numbers — take the easier side) and PRICE_SHOP

Game Lines GAME markets — moneyline / run total / run line for today's MLB games. This answers the 'quién gana / cuántas carreras / pronóstico Yankees vs Toronto' questions that p

Game Model MODEL the GAME run markets — TEAM TOTALS (over/under) and NRFI/YRFI — vs the FanDuel line, MARKET-ANCHORED: expected_runs = the book's de-vigged implied mean + 0.25×(st

Log Bet Record a bet you placed (per user) so we can track P&L + CLV over time. Body: {uid, market, selection, odds (American), stake, line?, prop?, team?, game?, book?}. Append-o

Market FULL FanDuel market board for a team's game — EVERY market with real odds + de-vig fair price, so NO market question goes unanswered. Game lines (ML / total / run line), FI

Market Movers MARKET pattern (not model opinion): how FanDuel lines MOVED today, from the captured snapshots. A line that shortened = money coming in (sharp/news); a drift = money

Matchup GROUNDING — the real game for a team today: probable pitchers + the POSTED lineup (ACTUAL player names from MLB statsapi) + the market line + the CONTEXT a pro reasons wit

My Bets A user's bet history + P&L / CLV summary. avg_clv_pct > 0 over time = you're beating the closing line = real edge (the only durable proof). ### Responses: **200**: Succe

Player Form Streak / splits / recent form for any player ('racha de X'). ### Responses: **200**: Successful Response (Success Response) Content-Type: application/json **422**: V

Scan Edges Tonight's prop board ranked by model edge (VALUE first). ### Responses: **200**: Successful Response (Success Response) Content-Type: application/json **422**: Valida

Settle Bet Settle a logged bet. Body: {uid, bet_id, result: won|lost|push, closing_odds?}. closing_odds lets us compute CLV (did you beat the close). ### Responses: **200**: Suc

Sharp SHARP value — FanDuel vs PINNACLE (the sharpest book, ~2% hold). Pinnacle's de-vigged line ≈ TRUE probability, so this is the most reliable value signal in the kit, NO model

Contest Advice Advice for a concrete contest name. Resolves the name against the LIVE lobby FIRST so a real live contest is never reported missing (the curated registry is only a

Contest Semaforo VIP-only: per-contest play/skip verdict from the owner's verified P&L bands + structure gates + rake/fill math. See core/data/contest_semaforo. ### Responses: *

Fill Template Fill a downloaded FanDuel/DK entries-template with already-generated lineups WITHOUT re-running the optimizer — the MCP-callable equivalent of the dashboard's fill_t

Generate Lineups ### Responses: **200**: Successful Response (Success Response) Content-Type: application/json **Example Response:** ```json { "status": "Status", "generated

Get Slate Players Endpoint Get the V12 player pool for a specific slate ID. ### Responses: **200**: Successful Response (Success Response) Content-Type: application/json **422**

Health ### Responses: **200**: Successful Response (Success Response) Content-Type: application/json **Example Response:** ```json { "status": "Status", "version": "Version"

Health V12 Deep health check for the V12 pipeline. Surfaces: - last nightly regression run (pass/fail + per-slate deltas) - regression baseline metadata - recent preflight b

Contest Registry List contest strategy registry entries for agents and the dashboard. ### Responses: **200**: Successful Response (Success Response) Content-Type: application/js

Live Contests Return latest V12 contest context without backend identifiers. ### Responses: **200**: Successful Response (Success Response) Content-Type: application/json **422*

Get Presets List the available strategy presets (gpp_pro_pattern, gpp_sniper, gpp_balanced, gpp_volume, cash_grinder, gpp_contrarian, gpp_mass_entry) with their configurations. No

Get Slates List available V12 slates for today. Returns slate IDs, game counts, and lock times. ### Responses: **200**: Successful Response (Success Response) Content-Type: appl

Run Mlb Postmortem ### Responses: **200**: Successful Response (Success Response) Content-Type: application/json **Example Response:** ```json { "status": "Status", "generat

Scout Field VIP-only (owner order 8/16): opponent-scouting profiles for the small single-entry band. The owner's $65 table runs the SAME regulars nightly; this returns each regula

Slate Diff Compute what changed since a previously-stored snapshot. Body shape: { "slate_id": 32867, "date": "2026-05-11", "sport": "NBA", "site": "FD", "pr

Slate Health Pre-flight diagnostic for a slate. Returns whether odds, projections, matchup, and FD master-session are ready BEFORE the agent invokes /v1/generate. Either slate_id

Slate Refresh Re-fetch projections + odds + slate metadata for a date. Writes to the configured store (Supabase in prod). Returns a summary dict (date, slate_id, n_games, n_playe