---

name: profitabul-mcp description: Real-time futures market intelligence, GEX/options flow analysis, trading signals, paper trading, backtesting, and live execution via MCP. Covers ES, NQ, SPX, NDX, QQQ, IWM, GC, SI, CL, and more. version: 0.2.3 metadata: openclaw: requires: env: - PROFITABUL_API_KEY primaryEnv: PROFITABUL_API_KEY emoji: "\U0001F4C8" homepage: https://profitabul.ai

Profitabul MCP

Real-time futures and options market intelligence for AI trading agents. Get live market context, GEX-derived support/resistance levels, trading signals, historical data, backtesting, and paper trading — all through a single MCP endpoint.

Features

• Market Context — Live price, GEX regime, VIX state, and candle summaries for 13 symbols
• Heatseeker Signals — Directional trading signals combining gamma exposure, vanna exposure, and VIX trend
• GEX Key Levels — King node, gatekeeper, zero gamma, ceiling, and floor levels derived from real options flow
• Historical Data — Candle data across multiple timeframes (1m to 1d) with up to 200K bars
• Statistics — Realized volatility, average range, volume stats over any lookback period
• Reports — Opening Range Breakout (ORB) and Initial Balance (IB) analysis
• Backtesting — Server-side strategy backtests (ORB breakout/fade) with configurable parameters
• Paper Trading — Open, close, and track hypothetical positions with full P&L
• Live Execution — Execute real trades through ProjectX broker (when enabled)

Supported Symbols

Category	Symbols
Indices	SPX, NDX
ETFs	SPY, QQQ, IWM
Futures	ES, NQ, YM, RTY
Commodities	GC (Gold), SI (Silver), CL (Crude Oil), HG (Copper)

Setup

1. Get Your API Key

1. Sign up at profitabul.com
2. Subscribe to a Pro plan (API access is included)
3. Go to Settings > Integrations and generate an Agent API key
4. Copy the key (shown once, starts with pab_live_)

2. Configure Environment

Add to ~/.clawdbot/.env:

PROFITABUL_API_KEY=pab_live_YOUR_KEY_HERE

3. Configure mcporter

Add to config/mcporter.json:

{
  "mcpServers": {
    "profitabul": {
      "baseUrl": "https://agents.profitabul.ai/mcp",
      "headers": {
        "Authorization": "Bearer ${PROFITABUL_API_KEY}"
      }
    }
  }
}

4. Verify

mcporter list profitabul

Available Tools (16)

Market Intelligence

Tool	Description
get_market_context	Comprehensive market snapshot: price, GEX levels, VIX state, candle summary
get_signal	Heatseeker trading signal with directional bias, confidence, and entry/exit levels
get_key_levels	GEX-derived support/resistance: king node, gatekeeper, zero gamma, floor, ceiling

Historical Data & Analysis

Tool	Description
get_history	Fetch historical candles for any symbol/timeframe/date range
get_statistics	Summary statistics: realized volatility, average range, volume
run_report	Opening Range Breakout (ORB) and Initial Balance (IB) analysis
run_backtest	Server-side strategy backtest with configurable parameters

Paper Trading

Tool	Description
paper_trade	Open, close, or list paper positions with P&L tracking

Live Execution (When Enabled)

Tool	Description
live_open	Open a live futures trade with stop/target
live_close	Close a tracked live trade
live_reduce	Partially reduce an open position
live_add_risk	Add stop-loss/take-profit to existing position
live_cancel_orders	Cancel open orders
live_account	Read account info (balance, margin)
live_positions	Read open positions
live_orders	Read working orders

Usage Examples

Market Analysis Workflow

# 1. Get current market context
mcporter call 'profitabul.get_market_context(symbol: "SPX")'

# 2. Check key GEX levels
mcporter call 'profitabul.get_key_levels(symbol: "SPX")'

# 3. Get trading signal based on current conditions
mcporter call 'profitabul.get_signal(
  symbol: "SPX",
  gex_bias: "positive",
  vex_bias: "bullish",
  vix_trend: "falling"
)'

Historical Analysis

# Get 30 days of 5-minute candles
mcporter call 'profitabul.get_history(symbol: "ES", timeframe: "5m", days: 30)'

# Run ORB analysis
mcporter call 'profitabul.run_report(reportType: "orb", symbol: "ES", days: 60)'

# Backtest ORB breakout strategy
mcporter call 'profitabul.run_backtest(
  symbol: "ES",
  days: 30,
  strategy: { type: "orb-breakout", params: { stopMult: 0.75, targetMult: 1.0 } }
)'

Paper Trading

# Open a paper trade
mcporter call 'profitabul.paper_trade(
  action: "open",
  symbol: "ES",
  side: "long",
  entry: 5825,
  size: 2,
  reason: "GEX support bounce at zero gamma"
)'

# List open positions
mcporter call 'profitabul.paper_trade(action: "list")'

# Close a trade
mcporter call 'profitabul.paper_trade(
  action: "close",
  trade_id: "pt_1705312200_abc123",
  exit: 5850,
  close_reason: "Target reached at king node"
)'

Recommended Workflow

1. Start with context — Call get_market_context to understand current conditions
2. Check levels — Use get_key_levels for precise support/resistance
3. Get signal — Feed GEX bias, VEX bias, and VIX trend into get_signal
4. Validate with history — Use run_report or run_backtest to check if the setup has edge
5. Execute — Open a paper_trade (or live_open if enabled) at signal levels
6. Manage — Track and close positions based on level targets

Rate Limits

• 120 requests per minute per API key
• Sliding window rate limiting
• Returns 429 Too Many Requests with Retry-After header when exceeded

Resources

• Profitabul Platform
• API Documentation
• Discord Community