A high-performance Model Context Protocol (MCP) server for comprehensive options order flow analysis. This server provides real-time options order flow data, pattern detection, and institutional bias analysis through an intuitive MCP interface.
- Real-time Options Flow Analysis: Monitor options order flow across multiple contracts with sub-10ms response times
- Advanced Pattern Detection: Identify sweeps, blocks, and unusual volume patterns with institutional-grade algorithms
- Institutional Bias Tracking: Monitor smart money positioning and directional sentiment
- Historical Trend Analysis: 30-minute interval analysis with key directional changes
- Dynamic Monitoring: Configure and monitor specific strike ranges and expirations without restarts
- High Performance: Built for production use with distributed Go+Python architecture
This MCP server integrates with the mcp-trading-data-broker Go service to provide:
┌─────────────────────┐ gRPC ┌─────────────────────┐ WebSocket ┌─────────────────────┐
│ MCP Options Server │ ──────────► │ mcp-trading-data- │ ──────────────► │ Market Data │
│ (Python) │ │ broker (Go) │ │ Provider │
│ │ │ │ │ │
│ • MCP Tools │ │ • Options Analysis │ │ • Options Quotes │
│ • XML Formatting │ │ • Pattern Detection │ │ • Real-time Data │
│ • Context Building │ │ • Data Storage │ │ │
└─────────────────────┘ └─────────────────────┘ └─────────────────────┘
-
mcp-trading-data-broker: The Go-based data broker service
- Provides gRPC server on port 9090
- Handles real-time options data collection and analysis
- Must be running before starting this MCP server
-
Python 3.8+: Required for MCP server
-
Network Access: For gRPC communication between services
# Clone the repository
git clone <repository-url>
cd mcp-options-order-flow-server
# Create virtual environment
python -m venv venv
source venv/bin/activate # On macOS/Linux
# venv\Scripts\activate # On Windows
# Install dependencies
pip install -r requirements.txtSet environment variables:
# gRPC Data Broker Connection
export GRPC_HOST=localhost
export GRPC_PORT=9090
export GRPC_TIMEOUT=30
# Optional: Custom logging
export LOG_LEVEL=INFO# Method 1: Using the convenience script
python run_server.py
# Method 2: Using module execution
python -m src.mcp_server
# Method 3: Direct execution
python src/mcp_server.pyAdd to your Claude Desktop MCP configuration:
{
"mcpServers": {
"options-flow": {
"command": "python",
"args": ["run_server.py"],
"cwd": "/path/to/mcp-options-order-flow-server",
"env": {
"GRPC_HOST": "localhost",
"GRPC_PORT": "9090"
}
}
}
}Get comprehensive options order flow analysis for a ticker.
Parameters:
ticker(string): Stock ticker symbol (e.g., "SPY", "QQQ")
Returns: XML-formatted analysis including:
- Monitored contracts grouped by expiration and strike
- Current activity levels and directional bias
- Detected patterns with confidence scores
- Historical trend analysis with 30-minute intervals
- Institutional bias and most active strikes
Configure options monitoring for specific contracts.
Parameters:
ticker(string): Stock ticker symbolconfigurations(array): Configuration objects with:expiration(integer): Expiration date in YYYYMMDD formatstrike_range(array): List of strike prices to monitorinclude_both_types(boolean): Monitor both calls and puts
Example:
{
"ticker": "SPY",
"configurations": [
{
"expiration": 20240419,
"strike_range": [400, 405, 410],
"include_both_types": true
}
]
}Get current monitoring configuration status.
Parameters:
ticker(string): Stock ticker symbol
Returns: XML-formatted status showing all actively monitored contracts
Check connectivity and health status of the data broker.
Returns: Health status with connection details and response time metrics
"Please monitor SPY options for expiration 2024-04-19, strikes 400-410, both calls and puts"
"Analyze the current options flow for SPY"
"What options contracts are currently being monitored for SPY?"
sites are properly configured