How do I use OpenClaw GenPark Sentinel Flux?

This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.

OpenClaw GenPark Sentinel Flux

by alphaparkinc

Overview Schema Source Related Servers Discussions Admin

Python

Remote

openclaw-genpark-sentinel-flux

Organization Model Context Protocol Zero-Dependency Python Version Security Rating License

Production-hardened OpenClaw GenPark Agent skill engineered strictly with Python standard library. Provides high-throughput deterministic execution, cryptographic security, and game-theoretic optimization via the Model Context Protocol (MCP).

Architecture & Data Flow

flowchart TD
    Input[Incoming Agent Telemetry / Task Input] --> Core["OpenClawGenParkSentinelFlux"]
    Core --> Model[Mathematical Logic Engine]
    Model --> MCPResponse[Deterministic JSON Output / MCP Tool Result]

Related MCP server: MCP ML Monitor

Quickstart & Usage

1. Direct Python Client Execution

python example_usage.py

2. Standalone MCP Server Launch

Run the native STDIO MCP server:

python mcp_server.py

License

This project is licensed under the MIT License - see the LICENSE file for details.

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Resources

Related MCP Connectors

agentcheckA
io.github.agentwares
Synthetic checks, nightly regression replay and model-drift alerts for AI agents
AI & Machine Learning Testing & QA Tools Monitoring
111
https://agentwares-agentcheck.vercel.app/api/mcp
Statistical Process Control & Anomaly AlertsA
ai.saifs
Monitor metric streams with control charts and alert only on statistically real drift.
Monitoring Observability
21
https://process-monitor-mcp-microsoft.saifs.ai/mcp
Agentic-Ops Control Plane
io.github.nolll77
Autonomous and governed SRE & MLOps control plane for AI agent platforms.
Agent Orchestration AI & Machine Learning Observability
1
https://agentic-ops-5ebv.onrender.com/mcp
kyde scoreA
com.kyde
Agent observability via OpenTelemetry: drift, loop and hijack alerts, e.g. after a prompt injection.
AI & Machine Learning Monitoring Observability
61
https://score.kyde.com/mcp

Related MCP Servers

agent-guard-mcp
Agent Orchestration Autonomous Agents
mdfifty50-boop
A
license
Not graded
quality
D
maintenance
Detects and prevents infinite agent loops via circuit breakers, pattern detection, and recovery recommendations.
Updated 6 months ago (2026-04-24 13:40 UTC)
79 npm
MIT
MCP ML Monitor
AI & Machine Learning Monitoring Observability
Rishi625
F
license
Not graded
quality
D
maintenance
Monitors ML models in production for data drift and performance degradation, providing automated alerts and retraining recommendations.
Updated 10 months ago (2026-01-13 00:27 UTC)
-
genpark-time-seriesofficial
AI & Machine Learning Research & Data
alphaparkinc
A
license
Not graded
quality
B
maintenance
Enables agents to forecast numerical trends with zero-dependency Holt linear exponential smoothing, multi-step horizons, variance confidence bands, and supporting statistical anomaly detection, regression, hypothesis testing, and PCA.
Updated a month ago (2026-09-28 03:14 UTC)
7
MIT
genpark-time-seriesofficial
AI & Machine Learning Monitoring
Alpha-Park
A
license
Not graded
quality
B
maintenance
Enables statistical forecasting and anomaly detection over numerical time-series data using Holt linear smoothing, multi-step projections, and variance-based confidence bands.
Updated a month ago (2026-09-28 03:15 UTC)
7
MIT