What can you do with this server?

This server provides real-time stock trading analysis capabilities: * Detect significant price levels (volume walls) * Fetch current order book data for specific stock symbols * Retrieve recent trades for given stock symbols * Analyze stock data including volume and value over specified time periods * Track and analyze trading imbalances * Perform after-hours trading analysis * Persist data using MongoDB * Integrate with MCP clients

Which integrations are available for this server?

Provides data persistence for storing stock trading volume analysis, volume walls, and trading imbalance data Serves as the runtime environment for the Volume Wall Detector MCP server

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)

Related MCP server: Financial Datasets MCP Server

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:

License

MIT

Volume Wall Detector MCP