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Volume Wall Detector MCP Server

@Cognitive-Stack

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

Cognitive-Stack

关于 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 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Volume Wall Detector MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

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

常见问题

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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