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Volume Wall Detector MCP

by Cognitive-Stack
OverviewInspectNewSchemaRelated ServersScore
Python
Hybrid
2
6
  • Apple

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 🤖

  1. 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

  1. 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

  1. Open Cursor Settings

  2. Navigate to Open MCP

  3. Click on "Add New Global MCP Server"

  4. 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

Deploy Server
A
security – no known vulnerabilities
F
license - not found
A
quality - confirmed to work

How are these scores calculated?

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