Profitabul MCP for Openclaw

A high-performance market intelligence skill for AI agents to analyze and execute futures and options trades with institutional-grade data.

codeurge
v0.3.1
Mar 10, 2026
0
1.1k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install profitabul

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install profitabul using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Profitabul MCP?

Profitabul MCP is a comprehensive market intelligence suite designed for AI trading agents within the Openclaw Skills ecosystem. It provides real-time access to futures and options data, specifically focusing on GEX (Gamma Exposure) and Vanna-derived levels to identify high-probability support and resistance nodes. By integrating with Openclaw Skills, developers can build sophisticated agents that monitor market context, perform server-side backtesting, generate Heatseeker signals, and manage both paper and live execution.

This skill bridges the gap between raw market data and actionable intelligence, offering specialized tools for 13 major symbols including SPX, NDX, Gold, and Crude Oil. It empowers developers to create autonomous trading systems that understand complex market regimes, volatility states, and institutional flow patterns without needing to build custom data pipelines from scratch.

Profitabul MCP Use Cases

  • Automated monitoring of real-time price action and GEX regimes for indices like SPX and NQ.
  • Identifying institutional support and resistance through King Node and Gatekeeper levels derived from options flow.
  • Validating trading strategies via server-side backtesting of Opening Range Breakout (ORB) and Initial Balance (IB) scenarios.
  • Executing automated paper trading or live futures trades through ProjectX broker integration.
  • Generating directional trading signals based on VIX trends and advanced options flow metrics.

How Profitabul MCP Works

  1. The AI agent initializes the session by requesting current market context and GEX regimes for the target symbols.
  2. Specific technical levels like Zero Gamma and Ceiling/Floor are fetched to establish the intraday trading range.
  3. Heatseeker signals are queried to determine the directional bias and entry/exit confidence levels.
  4. Historical data or server-side backtests are run to validate the current market setup against past performance windows.
  5. The agent executes a paper or live trade and manages the position lifecycle through stop-loss and take-profit adjustments.

Profitabul MCP Setup

To integrate this capability into your Openclaw Skills environment, follow these steps:

  1. Sign up at profitabul.com and generate an Agent API key under Settings > Integrations.
  2. Add the key to your environment variables:
PROFITABUL_API_KEY=pab_live_YOUR_KEY_HERE
  1. Configure your mcporter server JSON:
{
  \"mcpServers\": {
    \"profitabul\": {
      \"baseUrl\": \"https://agents.profitabul.ai/mcp\",
      \"headers\": {
        \"Authorization\": \"Bearer ${PROFITABUL_API_KEY}\"
      }
    }
  }
}
  1. Verify the connection by running mcporter list profitabul to see available tools.

Profitabul MCP Data Schema & Taxonomy

The skill organizes market intelligence into structured data frames accessible via MCP tools:

Category Key Data Points
Market Context Price, VIX Trend, GEX Regime, Candle Summaries
Key Levels King Node, Gatekeeper, Zero Gamma, Floor, Ceiling
Historical OHLCV Candles (1m to 1d), Realized Volatility, Volume Stats
Trading Paper Trade IDs, P&L Tracking, Account Balances, Active Orders

Profitabul MCP Advanced Features

  • Comprehensive Heatseeker signals that synthesize gamma, vanna, and volatility trends into a single confidence score.
  • Server-side strategy backtesting engine for ORB and IB strategies with configurable multipliers and lookbacks.
  • Full live execution support through ProjectX, enabling autonomous risk management, order cancellation, and position scaling.
  • High-resolution historical data access with support for up to 200,000 bars per request for deep data analysis.
  • Real-time Opening Range Breakout and Initial Balance analysis reports for day trading automation.

SKILL.md


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