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Statistical Process Control & Anomaly Alerts MCP Server

by saifs Your server? Claim it
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Statistical Process Control & Anomaly Alerts is answering right now. Last checked 2 min ago. Last commit 29 Oct 2026.

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

Uptime history 4 days of history
4 days agonow
100.0%
Uptime 24h
92 of 92 checks
—
Tools
hidden behind auth
602 ms
Response time
average over 24h
4
Stars
last commit 29 Oct 2026

Nothing serious here today

Today is the operative word: we check Statistical Process Control & Anomaly Alerts every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 2 min ago.

run in your terminal
claude mcp add process-control --transport http https://process-monitor-mcp-microsoft.saifs.ai/mcp
Settings → Connectors → Add custom connector, then paste this address
https://process-monitor-mcp-microsoft.saifs.ai/mcp
~/.codex/config.toml
[mcp_servers.process-control]
url = "https://process-monitor-mcp-microsoft.saifs.ai/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "process-control": {
      "url": "https://process-monitor-mcp-microsoft.saifs.ai/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "process-control": {
      "type": "http",
      "url": "https://process-monitor-mcp-microsoft.saifs.ai/mcp"
    }
  }
}

This endpoint answered with an authorization challenge. The server is running, and it signs you in through your browser: there is no API key to paste.

Endpoints

URLTransportStateLatencyChecked
https://process-monitor-mcp-microsoft.saifs.ai/mcp streamable-http sign-in 489 ms 2 min ago

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Statistical Process Control & Anomaly Alerts — questions

Answers built from our own checks of this server.

Why is there no tool list for Statistical Process Control & Anomaly Alerts?
The server answered our handshake with an authorization challenge, so it is running — but it will not describe its tools to an anonymous client. To see them you need to connect with your own credentials. We record it as alive, not as broken: 100.0% of checks in the last 24 hours got a reply.
Is Statistical Process Control & Anomaly Alerts working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 602 ms. The bar chart above shows every period we have measured.
How do I connect Statistical Process Control & Anomaly Alerts?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address. You sign in through your browser once and the client keeps the session: no key to copy, and it refuses anonymous clients.
How do you sign in to Statistical Process Control & Anomaly Alerts?
No API key is involved. Statistical Process Control & Anomaly Alerts answers our knock with an OAuth challenge, so you authorise it once in your browser and the client keeps the session. That is also why we see no tool list: it will not describe itself to an anonymous client, and that is the server working as intended, not a fault.
How fast is Statistical Process Control & Anomaly Alerts?
It answers our handshake in 602 ms on average, which is faster than 18% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is Statistical Process Control & Anomaly Alerts open source?
The code is open source: it is published under the MIT licence and 4 stars on GitHub. The licence covers the code in the repository, not the hosted service at process-monitor-mcp-microsoft.saifs.ai, which runs on its operator's own terms.