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Volume Wall Detector Mcp
What is Volume Wall Detector Mcp
Volume Wall Detector MCP is a Model Context Protocol server designed for analyzing stock trading volume and identifying significant price levels known as volume walls.
Use cases
Use cases include real-time stock analysis, identifying potential support and resistance levels in trading, and analyzing trading patterns for better investment decisions.
How to use
To use volume-wall-detector-mcp, install it via npm with ‘npm install volume-wall-detector-mcp’, configure the necessary environment variables in a .env file, and start the server using ‘npm start’.
Key features
Key features include fetching and storing order book and trade data, analyzing volume distribution at various price levels, identifying significant price levels based on trading activity, tracking volume and value imbalances, and supporting both regular and after-hours trading analysis.
Where to use
Volume Wall Detector MCP can be used in financial markets, trading platforms, and stock analysis applications where understanding trading volume and price levels is critical.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Volume Wall Detector Mcp
Volume Wall Detector MCP is a Model Context Protocol server designed for analyzing stock trading volume and identifying significant price levels known as volume walls.
Use cases
Use cases include real-time stock analysis, identifying potential support and resistance levels in trading, and analyzing trading patterns for better investment decisions.
How to use
To use volume-wall-detector-mcp, install it via npm with ‘npm install volume-wall-detector-mcp’, configure the necessary environment variables in a .env file, and start the server using ‘npm start’.
Key features
Key features include fetching and storing order book and trade data, analyzing volume distribution at various price levels, identifying significant price levels based on trading activity, tracking volume and value imbalances, and supporting both regular and after-hours trading analysis.
Where to use
Volume Wall Detector MCP can be used in financial markets, trading platforms, and stock analysis applications where understanding trading volume and price levels is critical.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
Volume Wall Detector MCP Server 📊
🔌 Compatible with Cline, Cursor, Claude Desktop, and any other MCP Clients!
Volume Wall Detector MCP works seamlessly with any MCP client
The Model Context Protocol (MCP) is an open standard that enables AI systems to interact seamlessly with various data sources and tools, facilitating secure, two-way connections.
The Volume Wall Detector MCP server provides:
- Real-time stock trading volume analysis
- Detection of significant price levels (volume walls)
- Trading imbalance tracking and analysis
- After-hours trading analysis
- MongoDB-based data persistence
Prerequisites 🔧
Before you begin, ensure you have:
- MongoDB instance running
- Stock market API access
- Node.js (v20 or higher)
- Git installed (only needed if using Git installation method)
Volume Wall Detector MCP Server Installation ⚡
Running with NPX
npx -y volume-wall-detector-mcp@latest
Installing via Smithery
To install Volume Wall Detector MCP Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install volume-wall-detector-mcp --client claude
Configuring MCP Clients ⚙️
Configuring Cline 🤖
- Open the Cline MCP settings file:
# For macOS:
code ~/Library/Application\ Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
# For Windows:
code %APPDATA%\Code\User\globalStorage\saoudrizwan.claude-dev\settings\cline_mcp_settings.json
- Add the Volume Wall Detector server configuration:
{
"mcpServers": {
"volume-wall-detector-mcp": {
"command": "npx",
"args": [
"-y",
"volume-wall-detector-mcp@latest"
],
"env": {
"TIMEZONE": "GMT+7",
"API_BASE_URL": "your-api-url-here",
"MONGO_HOST": "localhost",
"MONGO_PORT": "27017",
"MONGO_DATABASE": "volume_wall_detector",
"MONGO_USER": "admin",
"MONGO_PASSWORD": "password",
"MONGO_AUTH_SOURCE": "admin",
"MONGO_AUTH_MECHANISM": "SCRAM-SHA-1",
"PAGE_SIZE": "50",
"TRADES_TO_FETCH": "10000",
"DAYS_TO_FETCH": "1",
"TRANSPORT_TYPE": "stdio",
"PORT": "8080"
},
"disabled": false,
"autoApprove": []
}
}
}
Configuring Cursor 🖥️
Note: Requires Cursor version 0.45.6 or higher
- Open Cursor Settings
- Navigate to Open MCP
- Click on “Add New Global MCP Server”
- Fill out the following information:
- Name: “volume-wall-detector-mcp”
- Type: “command”
- Command:
env TIMEZONE=GMT+7 API_BASE_URL=your-api-url-here MONGO_HOST=localhost MONGO_PORT=27017 MONGO_DATABASE=volume_wall_detector MONGO_USER=admin MONGO_PASSWORD=password MONGO_AUTH_SOURCE=admin MONGO_AUTH_MECHANISM=SCRAM-SHA-1 PAGE_SIZE=50 TRADES_TO_FETCH=10000 DAYS_TO_FETCH=1 npx -y volume-wall-detector-mcp@latest
Configuring Claude Desktop 🖥️
Create or edit the Claude Desktop configuration file:
For macOS:
code "$HOME/Library/Application Support/Claude/claude_desktop_config.json"
For Windows:
code %APPDATA%\Claude\claude_desktop_config.json
Add the configuration:
{
"mcpServers": {
"volume-wall-detector-mcp": {
"command": "npx",
"args": [
"-y",
"volume-wall-detector-mcp@latest"
],
"env": {
"TIMEZONE": "GMT+7",
"API_BASE_URL": "your-api-url-here",
"MONGO_HOST": "localhost",
"MONGO_PORT": "27017",
"MONGO_DATABASE": "volume_wall_detector",
"MONGO_USER": "admin",
"MONGO_PASSWORD": "password",
"MONGO_AUTH_SOURCE": "admin",
"MONGO_AUTH_MECHANISM": "SCRAM-SHA-1",
"PAGE_SIZE": "50",
"TRADES_TO_FETCH": "10000",
"DAYS_TO_FETCH": "1",
"TRANSPORT_TYPE": "stdio",
"PORT": "8080"
}
}
}
}
License
MIT
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










