"QA review sentinel test marker" matching MCP servers:

MCP server for Microsoft Sentinel. Enables access to Sentinel logs, incidents, analytics, and Entra ID data via a modular, queryable interface. Strictly non-production. Designed for use with Claude and other LLMs.

Provides investigation tools for Cloudflare CCF data in Microsoft Sentinel, enabling security posture assessment, threat detection, and IP reputation analysis through customizable MCP tools.

Enables querying Rubrik Security Cloud protection and threat data in Microsoft Sentinel via KQL-based custom MCP tools for backup posture, compliance, anomaly triage, and recovery readiness.

Enables agents to fetch app reviews from Apple's App Store and Google Play per country store, newest first, filtered by date or star rating, with each scheduled run returning only reviews not seen before. It also returns a per-app, per-country rating trend row with the current rating, rating count, change since the last run, and the star split of new reviews.

AI-powered QA testing platform — catches JS errors, accessibility failures, visual regressions, API loops, security issues, and more via Chrome DevTools MCP

Autonomous synthetic health checks, JSON-RPC 2.0 handshake validation, breaking schema drift detection, and credential leak scanning for remote MCP servers.

Enables AI clients to analyze saved Unity Profiler captures by listing captures, summarizing frame times, identifying the most expensive main-thread markers, and comparing groups of captures marker by marker. It reads .highlights and exported marker JSON, with optional Unity Editor bridge support for exporting per-marker statistics.

Website monitoring for AI assistants. Visual Sentinel catches pages that look broken even when the site is up. DNS, SSL, speed and website checks need no account; monitors, incidents and alerts need an API key (Business and Agency plans).

MCP server for Chainlink ecosystem monitoring with 6 tools: price feed tracking, VRF monitoring, automation status, CCIP tracking, and staking analytics. MIT licensed.

Analyzes Microsoft Sentinel solutions from GitHub repositories to map data connectors to Log Analytics tables and query security content like detections and playbooks. It provides instant access to the official Content Hub or private repositories through a high-performance pre-built index.

Read-only MCP server for Kafka cluster health, consumer lag, partition state, and replay-readiness, enabling AI agents to diagnose streaming incidents without write access.

The MCP Internet Speed Test is a specialized Model Context Protocol (MCP) server that enables AI models and agents to perform internet speed measurements.

Enables LAN-based control and monitoring of Bambu Lab printers, including pause/resume/stop, temperature and G-code commands, and automatic plate ejection. Adds a filament-aware job queue with retries, AI print supervision, spool inventory, and cost reporting.

Enables searching for relevant tables and retrieving data from Microsoft Sentinel's data lake using natural language, supporting security hunting scenarios like password-spray detection and impossible travel checks.

Enables AI assistants to interact with Vanta's security compliance platform to retrieve test results, manage security findings, review controls, and access compliance framework requirements for SOC 2, ISO 27001, HIPAA, and other standards.

Enables AI agents to run GPU acceptance tests on NVIDIA nodes you administer over SSH, executing DCGM diagnostics, a CUTLASS GEMM benchmark, HBM and PCIe bandwidth tests and NCCL all-reduce, then reporting each measurement against the matching profile's thresholds. Supports creating tests, tracking progress, sharing reports, and requires two owner-only confirmations before nodes are added or a test starts.

Generates weekly review reports in Markdown format based on AI session data and optional user annotations.

Enables AI assistants to explore a PostgreSQL database, run bounded read-only SQL, inspect query plans, test hypothetical indexes, find slow queries, and check database health with compact CSV output.

Enables real-time sliding-window token velocity anomaly detection and adaptive rate-limiting through a native STDIO MCP server built entirely on the Python standard library. Exposes deterministic algorithmic checks that report anomalies and throttle behavior as JSON tool results for MCP clients such as Claude Desktop, Cursor, and Antigravity.

A continuous, out-of-band trust and reliability layer for the MCP ecosystem. It fingerprints MCP server tool definitions, detects and classifies drift (e.g., rug pulls) via a severity taxonomy, maintains a hash-chained evidence ledger, and gates CI with SARIF—while also acting as an MCP server itself so agents can check a server's safety before binding.

Enables ingesting caller-supplied agent execution traces and comparing them against signed, versioned baselines of normal behaviour to surface silent drift. Reports severity with per-dimension attribution, a replayable exemplar episode, and visible suppression of declared maintenance windows or known change markers.

Enables agents to detect drift anomalies with CUSUM, forecast trends using Holt linear methods, and automatically trip a circuit breaker to protect workflows.

A production-ready MCP server for SQL Server monitoring, diagnostics, and database operations, with native connectivity, session management, deadlock and blocking analysis, and health checks.

Real-time capital oversight, drawdown alerts, and economic news blackout defense for funded prop traders and AI agents across cTrader and Tradovate.

Enables automated review and analysis of network security controls (AWS Security Groups, Network ACLs) using natural language queries. Supports NSC configuration reviews, network segmentation testing, and identifying security gaps through conversational LLM interaction.

Enables AI agents and SREs to diagnose Kubernetes incidents, perform root cause analysis, and generate safety-guardrailed GitOps remediation patches or kubectl commands. It supports live clusters, Alertmanager webhooks, and offline simulation scenarios.

MCP server that coordinates autonomous infrastructure health monitoring agents, enabling natural-language telemetry queries and automated diagnosis, remediation, and verification.

Enables real-time monitoring of robotic joint actuator thermal and torque loads, triggering preventative throttling and safety supervision for DJI/RoboMaster actuators through MCP.

Enables autonomous infrastructure health management by exposing tools for retrieving system logs, querying a knowledge base, executing SQL analytics, and simulating system commands, all integrated into an AI-driven incident response workflow.

MCP server for secure intelligent operations on Kylin OS, converting natural language requests into auditable, policy-controlled workflows.