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Volume Wall Detector MCP Server

@Cognitive-Stack

リポジトリ

基本情報

カテゴリ

その他

トランスポート

stdio

作者

Cognitive-Stack

Volume Wall Detector MCP Server について

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 の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

Volume Wall Detector MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

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

よくある質問

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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