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Real-time streaming sliding-window anomaly and burst detector using z-score and EWMA for spikes
GenPark Sliding Window Rate Anomaly Detector is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 56/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. No automated install command is listed; check the repository for manual setup instructions. Review the last-pushed date and repository status before adding GenPark Sliding Window Rate Anomaly Detector to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
See source docsReview the upstream source before running this command.
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-10-21T07:23:08.281489Z",
"publishedAt": "2026-10-21T07:23:08.281489Z",
"statusChangedAt": "2026-10-21T07:23:08.281489Z"
}
},
"server": {
"name": "io.github.alphaparkinc/genpark-sliding-window-rate-anomaly-detector-skill",
"title": "GenPark Sliding Window Rate Anomaly Detector",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "1.0.1",
"packages": [
{
"transport": {
"type": "stdio"
},
"fileSha256": "32612694d2a6accf20ed9e7d9ee4137165c0dd2e7dcc61727c9631f7d10ddaad",
"identifier": "https://github.com/Alpha-Park/genpark-sliding-window-rate-anomaly-detector-skill/releases/download/v1.0.1/genpark-sliding-window-rate-anomaly-detector-skill-v1.0.1.mcpb",
"registryType": "mcpb"
}
],
"repository": {
"id": "1428018852",
"url": "https://github.com/alphaparkinc/genpark-sliding-window-rate-anomaly-detector-skill",
"source": "github"
},
"websiteUrl": "https://genpark.ai/mcp",
"description": "Real-time streaming sliding-window anomaly and burst detector using z-score and EWMA for spikes"
}
}