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Volume Wall Detector MCP Server

@Cognitive-Stack

Repository

Basic information

Category

Other

Transports

stdio

Author

Cognitive-Stack

About Volume Wall Detector MCP Server

Volume Wall Detector MCP delivers real-time stock volume analysis and imbalance tracking with MongoDB storage, powered by the open Model Context Protocol (MCP).

#mcp#stock#mcp-server

Volume Wall Detector MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "volume-wall-detector-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "volume-wall-detector-mcp@latest"
      ]
    }
  }
}

Volume Wall Detector MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

What is Volume Wall Detector MCP Server?

The Volume Wall Detector MCP Server provides real-time stock trading volume analysis, detection of significant price levels (volume walls), trading imbalance tracking, and after-hours trading analysis. It uses MongoDB for data persistence and works seamlessly with MCP clients like Cline, Cursor, and Claude Desktop.

How to use Volume Wall Detector MCP Server?

Install via npx -y volume-wall-detector-mcp@latest or through Smithery. Then configure your MCP client (e.g., Cline, Cursor, Claude Desktop) with the required environment variables: TIMEZONE, API_BASE_URL, MONGO_HOST, MONGO_PORT, MONGO_DATABASE, MONGO_USER, MONGO_PASSWORD, and others as shown in the README.

Key features of Volume Wall Detector MCP Server

  • 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

Use cases of Volume Wall Detector MCP Server

  • Identify key support/resistance levels based on trading volume
  • Analyze intraday volume imbalances for trade signals
  • Monitor after-hours trading activity for overnight risk
  • Backtest volume wall detection strategies with historical data

Frequently asked questions

1

What are the prerequisites to run the server?

You need a running MongoDB instance, a stock market API access, Node.js v20 or higher, and optionally Git.

2

Where is data stored?

All trading data is persisted in a MongoDB database, configurable via environment variables.

3

What transport and port does the server use?

The default transport is stdio. An optional `TRANSPORT_TYPE` and `PORT` environment variable allow switching to an HTTP server on a specified port.

4

Which MCP clients are compatible?

The server works with any MCP client, with explicit configuration examples for Cline, Cursor (v0.45.6+), and Claude Desktop.

5

How do I authenticate to the MongoDB instance?

Provide `MONGO_USER`, `MONGO_PASSWORD`, `MONGO_AUTH_SOURCE`, and `MONGO_AUTH_MECHANISM` (default SCRAM-SHA-1) in the client configuration.

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