Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP Options Order Flow Serveranalyze options flow for SPY"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MCP Options Order Flow Server
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.
π Features
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
ποΈ Architecture
This MCP server integrates with the mcp-trading-data-broker Go service to provide:
βββββββββββββββββββββββ gRPC βββββββββββββββββββββββ WebSocket βββββββββββββββββββββββ
β MCP Options Server β βββββββββββΊ β mcp-trading-data- β βββββββββββββββΊ β Market Data β
β (Python) β β broker (Go) β β Provider β
β β β β β β
β β’ MCP Tools β β β’ Options Analysis β β β’ Options Quotes β
β β’ XML Formatting β β β’ Pattern Detection β β β’ Real-time Data β
β β’ Context Building β β β’ Data Storage β β β
βββββββββββββββββββββββ βββββββββββββββββββββββ βββββββββββββββββββββββπ Prerequisites
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
β‘ Quick Start
1. Installation
# 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.txt2. Configuration
Set environment variables:
# gRPC Data Broker Connection
export GRPC_HOST=localhost
export GRPC_PORT=9090
export GRPC_TIMEOUT=30
# Optional: Custom logging
export LOG_LEVEL=INFO3. Start the Server
# 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.py4. Claude Desktop Integration
Add 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"
}
}
}
}π οΈ Available MCP Tools
1. analyze_options_flow
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
2. configure_options_monitoring_tool
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
}
]
}3. get_monitoring_status_tool
Get current monitoring configuration status.
Parameters:
ticker(string): Stock ticker symbol
Returns: XML-formatted status showing all actively monitored contracts
4. data_broker_health_check
Check connectivity and health status of the data broker.
Returns: Health status with connection details and response time metrics
π‘ Example Usage
1. Configure Monitoring
"Please monitor SPY options for expiration 2024-04-19, strikes 400-410, both calls and puts"2. Analyze Options Flow
"Analyze the current options flow for SPY"3. Check Monitoring Status
"What options contracts are currently being monitored for SPY?"sites are properly configured
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