
GenPark Sliding Window Rate Anomaly Detector
io.github.alphaparkincPublished by GitHub account alphaparkincv1.0.1Updated Nov 4, 2026
Real-time streaming sliding-window anomaly and burst detector using z-score and EWMA for spikes
The publisher's own server: Physician Review
Overview
A local MCP server that detects anomalies and bursts in streaming data using sliding-window z-score and EWMA methods.
- What you can do
- Detect anomalies in real-time streaming data with sliding-window statistics.
- Flag spikes and bursts using z-score and EWMA scoring.
- No tool list is published, so the exact operations the assistant can call are not documented in the supplied material.
- When to use it
- Worth adding when an assistant needs to watch a stream of numeric values and surface spikes or bursts as they happen, for example during monitoring or exploratory analysis of time-ordered data.
- Requirements
- Runs as a local process on the user's machine, distributed as an MCPB package for desktop clients. No authentication, environment variables or headers are declared.
Installation
In SourceWeft
- Open GenPark Sliding Window Rate Anomaly Detector in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
This repository has no README.
Tools
0Version history
1- v1.0.1LatestOct 21, 2026
Score
25% 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 days25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- 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
Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.
- License10 pts
Declare a license in the repository or the registry entry.
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