Statistical Process Control & Anomaly Alerts

ai.saifsPublished by saifs.aiOfficial publisherv1.0.0Updated Oct 29, 2026

Monitor metric streams with control charts and alert only on statistically real drift.

The publisher's own server: Customer Intelligence & Segmentation

VerifiedStreamable HTTPWeb executableSecurity & MonitoringData & Analytics

Overview

AI-generated overview

Remote MCP server that applies statistical process control charts to metric streams and alerts only on genuine out-of-control drift.

What you can do
  • Compute control limits from a stable baseline and judge whether a metric is in or out of control
  • Detect small sustained shifts with CUSUM and EWMA methods
  • Explain a fired signal: which rule triggered, how many sigma, and what it means
  • Continuously watch a process and alert on rule violations
When to use it
Useful when you want an assistant to monitor operational metrics such as response time, error rates, defect rates, SLAs or conversion, and to be alerted only on statistically real drift rather than noise. It is framed as decision support, with operators keeping stop/go authority.
Requirements
A remote Streamable HTTP endpoint; nothing to install locally. OAuth 2.1 sign-in with PKCE and dynamic client registration, so an OAuth-aware client opens a sign-in page on first use. No environment variables or headers are declared.
Before you install
Requires signing in to the publisher's hosted service, so metric data you submit is processed by that third party. It produces monitoring verdicts and alerts only; the README states it is decision support and operators own stop/go decisions.

Installation

In SourceWeft

  1. Open Statistical Process Control & Anomaly Alerts in the dashboard and add it to a workspace.
  2. Connect the required credentials. They are stored privately and never shown on public pages.
  3. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/ai.saifs%2Fprocess-control/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config. The client completes OAuth sign-in on first connect.

{
  "mcpServers": {
    "statistical-process-control-anomaly-aler": {
      "type": "http",
      "url": "https://process-monitor-mcp-microsoft.saifs.ai/mcp"
    }
  }
}

README

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 nameai.saifs/process-control
Endpointhttps://process-monitor-mcp-microsoft.saifs.ai/mcp
TransportStreamable HTTP (remote, nothing to install)
AuthOAuth 2.1 — PKCE (S256) and dynamic client registration; your client opens a sign-in page on first use
PublisherSAIFS AI

Install

VS Code / GitHub Copilot

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

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

bash
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

ToolWhat it does
detect_shiftCUSUM / EWMA for small sustained drifts that Shewhart charts miss.
explain_signalWhich rule fired, how many sigma, and what it means.
monitor_metricIn-control / out-of-control verdict plus which rule fired.
set_control_limitsCompute ±3σ limits from a stable baseline.
watch_processContinuous 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

Source: servers/process-control/README.md at commit f5c0037

Tools

0
This server asks you to sign in, so SourceWeft could not read its tools without an account and has not indexed them. What a connected account sees can depend on that account and its permissions.

Version history

1
  1. v1.0.0LatestOct 29, 2026

Score

85% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts

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