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Volume Wall Detector MCP Server 📊

Volume Wall Detector MCP Server 📊

Local
github.com/Cognitive-StackFinance7Updated 79w ago

About Volume Wall Detector MCP Server 📊

An MCP server for stock trading analysis, with real-time volume analysis, significant price-level detection, and imbalance tracking. It persists data in MongoDB.

Key features

  1. 01Real-time stock volume analysis
  2. 02Detect significant price levels
  3. 03Track trading imbalances
  4. 04Analyze after-hours trading
  5. 05MongoDB data persistence

Use cases

  1. 01Review live stock volumes
  2. 02Identify volume wall price levels
  3. 03Track changes in trading imbalance
  4. 04Analyze after-hours activity

MCP support

The MCP server exposes stock volume, price-level, imbalance, and after-hours analysis capabilities to MCP clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"volume-wall-detector": {
"command": "npx",
"args": [
"-y",
"volume-wall-detector-mcp"
]
}
}
}
Run commandnpx -y volume-wall-detector-mcp

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npmvolume-wall-detector-mcp

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

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

VLD Logo

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

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.