Statistical Process Control & Anomaly Alerts
Monitor metric streams with control charts and alert only on statistically real drift.
Install
Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).
claude mcp add --transport http statistical-process-control-anomaly-aler 'https://process-monitor-mcp-microsoft.saifs.ai/mcp'
{
"mcpServers": {
"statistical-process-control-anomaly-aler": {
"type": "http",
"url": "https://process-monitor-mcp-microsoft.saifs.ai/mcp"
}
}
}
Frequently asked questions
What is Statistical Process Control & Anomaly Alerts?
Monitor metric streams with control charts and alert only on statistically real drift.
How do I install Statistical Process Control & Anomaly Alerts?
It runs as a remote server. In Claude Code: claude mcp add --transport http statistical-process-control-anomaly-aler 'https://process-monitor-mcp-microsoft.saifs.ai/mcp'. For other clients, paste the JSON configuration from this page into their MCP settings.
Does Statistical Process Control & Anomaly Alerts need an API key?
Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.
Is Statistical Process Control & Anomaly Alerts open source?
Its code is public on GitHub, but the repository does not declare a standard license.
Who maintains Statistical Process Control & Anomaly Alerts?
It is published by Saify-Technologies. AI.tn lists it but does not maintain or endorse it.
From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.