Volume Wall Detector MCP Server
If you already use Volume Wall Detector MCP, the volume wall detector mcp mcp server is the piece that lets your assistant work with it directly. Volume Wall Detector MCP Server.
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 toolset is worth reading before you wire it up, because it tells you what the integration is really for:
Real — time stock trading volume analysisAfter — hours trading analysisMongoDB — based data persistenceName — "volume-wall-detector-mcp"Type — "command"Command — bashvolume-wall-detector-mcp on npm is all you need. Most clients run it directly, so configuration is a few lines and a restart.
Configuration is passed through the environment: TIMEZONE, API_BASE_URL, MONGO_HOST, MONGO_PORT, MONGO_DATABASE, MONGO_USER, MONGO_PASSWORD, MONGO_AUTH_SOURCE. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
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)
Plenty of database access servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Volume Wall Detector MCP's toolset — Real, After, MongoDB and 3 more — is a fair guide to whether it matches your workflow. It is maintained by Cognitive-Stack; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| Real | time stock trading volume analysis |
| After | hours trading analysis |
| MongoDB | based data persistence |
| Name | "volume-wall-detector-mcp" |
| Type | "command" |
| Command | bash |
{
"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"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
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)
| Variable | Description | Required |
|---|---|---|
| TIMEZONE | Configuration value read at startup. | Optional |
| API_BASE_URL | Endpoint or connection string the server talks to. | Yes |
| MONGO_HOST | Endpoint or connection string the server talks to. | Optional |
| MONGO_PORT | Configuration value read at startup. | Optional |
| MONGO_DATABASE | Configuration value read at startup. | Optional |
| MONGO_USER | Configuration value read at startup. | Optional |
| MONGO_PASSWORD | Configuration value read at startup. | Optional |
| MONGO_AUTH_SOURCE | Configuration value read at startup. | Optional |
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