Statistical Process Control & Anomaly Alerts

Statistical Process Control & Anomaly Alerts

Continuous statistical monitoring of any metric stream — support response time, error rates, delivery SLAs, defect rates, conversion — alerting only on genuine out-of-control signals. Shewhart charts plus Western Electric / Nelson run rules, with CUSUM and EWMA for small sustained drifts that a 3σ chart misses. Decision support only; operators own stop/go.

Registry name	ai.saifs/process-control
Endpoint	https://process-monitor-mcp-microsoft.saifs.ai/mcp
Transport	Streamable HTTP (remote, nothing to install)
Auth	OAuth 2.1 — PKCE (S256) and dynamic client registration; your client opens a sign-in page on first use
Publisher	SAIFS AI

Install

VS Code / GitHub Copilot

Add to .vscode/mcp.json (workspace) or your user mcp.json:

{
  "servers": {
    "saifs-process-control": {
      "type": "http",
      "url": "https://process-monitor-mcp-microsoft.saifs.ai/mcp"
    }
  }
}

Then start the server from the MCP view and sign in when prompted.

Claude (claude.ai, Desktop)

Settings → Connectors → Add custom connector, and paste:

https://process-monitor-mcp-microsoft.saifs.ai/mcp

Claude Code

claude mcp add --transport http saifs-process-control https://process-monitor-mcp-microsoft.saifs.ai/mcp

Any other MCP client

Point it at https://process-monitor-mcp-microsoft.saifs.ai/mcp using the Streamable HTTP transport. The server returns 401 with a WWW-Authenticate: Bearer … resource_metadata=… challenge, so OAuth-aware clients sign in automatically.

Tools

Tool	What it does
detect_shift	CUSUM / EWMA for small sustained drifts that Shewhart charts miss.
explain_signal	Which rule fired, how many sigma, and what it means.
monitor_metric	In-control / out-of-control verdict plus which rule fired.
set_control_limits	Compute ±3σ limits from a stable baseline.
watch_process	Continuous watch; alert on rule violations.

Example prompts

• “Is line 3 drifting out of spec?”
• “Alert me when defect rate shifts”
• “Calculate Cpk for this process”

Support

• Website: https://saifs.ai
• Issues: https://github.com/Saify-Technologies/saifs-ai-mcps-docs/issues
• Privacy: https://saifs.ai/privacy_policy