Volume Wall Detector Mcp

Volume Wall Detector Mcp is an MCP server that provides real-time stock trading volume analysis, tracks market imbalances, and identifies critical price levels known as volume walls. It connects stock market APIs with a local or remote MongoDB instance to collect, analyze, and persist trade data. Built for algorithmic traders, financial analysts, and developers using AI assistants, the server allows Large Language Models to inspect current order flow and historical trading volume without manual data extraction. Users can assess after-hours market movements, spot supply and demand zones where large clusters of orders congregate, and evaluate continuous trade feeds directly through chat-based workflows. By standardizing access to live financial metrics across compatible Model Context Protocol environments, it facilitates automated market research and order execution planning inside popular developer tools.

Category: Finance, Crypto & Payments

Tags: analysis, finance, market data, trading

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How to install and configure Volume Wall Detector Mcp

1. Ensure prerequisites are installed: Node.js (v20 or higher), a running MongoDB instance, and access to a stock market API. 2. Open your client configuration file, such as claude_desktop_config.json for Claude Desktop or cline_mcp_settings.json for Cline. 3. Add volume-wall-detector-mcp under the mcpServers object using npx as the command. 4. Configure the server arguments with ["-y", "volume-wall-detector-mcp@latest"]. 5. Populate the env block with required environment variables, including API_BASE_URL, MONGO_HOST, MONGO_PORT, MONGO_DATABASE, MONGO_USER, MONGO_PASSWORD, MONGO_AUTH_SOURCE, and TIMEZONE. 6. Restart your MCP client to load the server.

What you can do with Volume Wall Detector Mcp

• Identify volume walls and significant liquidity barriers across equity markets to locate key support and resistance levels. - Monitor continuous order flow and detect real-time trading imbalances during active market hours through conversational AI queries. - Inspect post-close and after-hours equity transactions to evaluate off-hours liquidity shifts and price positioning. - Store high-frequency trade records into a local or remote MongoDB database for structured technical analysis and backtesting.

Key facts

• https://github.com/Cognitive-Stack/volume-wall-detector-mcp
• Finance, Crypto & Payments
• analysis, finance, market data, trading

Part of MCP Servers

How do I install Volume Wall Detector Mcp?

You can run it directly using NPX with the command npx -y volume-wall-detector-mcp@latest, or automate installation for Claude Desktop using Smithery by running npx -y @smithery/cli install volume-wall-detector-mcp --client claude. You must configure required environment variables such as your MongoDB host and API base URL in your client configuration file.

Which MCP clients work with Volume Wall Detector Mcp?

The server works with any standard Model Context Protocol client. Documented clients include Claude Desktop, Cline for VS Code, and Cursor version 0.45.6 or higher via its Global MCP Server settings.

What prerequisites are needed to run Volume Wall Detector Mcp?

You need Node.js version 20 or higher, an active MongoDB instance to store volume data, and network access to a stock market API endpoint configured through the server environment variables.

Is Volume Wall Detector Mcp open source?

Yes, Volume Wall Detector Mcp is open-source software distributed under the MIT license on GitHub.