"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.

Intelligent AI routing and integration platform for seamless provider switching

MCP server for Azure Service Bus that enables sending messages, inspecting queues and subscriptions, and purging test data. Complements the built-in Azure MCP server by adding write operations.

Enables LLMs to build, validate, smoke test, and deploy Imperal apps using a declarative IR format directly from the editor.

Enables natural language interaction with AWS QuickSight for building, editing, and managing analyses, datasets, and dashboards, including chart creation, SQL updates, and QA verification.

Enables secure execution of JavaScript and Python code in cloud-based E2B sandboxes with integrated file management capabilities, allowing Claude to run and test code safely in isolated environments.

Karpenter is a Kubernetes Node Autoscaler built for flexibility, performance, and simplicity.

Lets AI agents propose and review Terraform plans through MCP while requiring human approval before any exact reviewed plan is applied, with policy checks and a tamper-evident audit log.

A Python-based MCP server that enables integration with Microsoft Security Copilot and Microsoft Sentinel, allowing users to run KQL queries, manage skillsets/plugins, and execute prompts in Security Copilot.

MCP server for SAP Cloud ALM, providing 54 tools across 9 services to manage features, tasks, test cases, documents, projects, and more via natural language.

Model Context Protocol (MCP) Server for the mcp API.

Enables AI coding agents and shells to quote, start, monitor and fetch cloud GPU renders of saved Blender scenes, returning hash-checked PNG frames and a QA report, with jobs paid for by Loopcut credits.

Defensive credential-exposure auditor for GKE that inventories workload identity, service account tokens, and RBAC posture, exposing findings via an MCP server at /mcp.

Enables LLMs to model, validate, and analyze multi-cloud infrastructure as a typed graph, with tools for IaC import/export, cost estimation, and architecture review.

Lets an AI assistant scan a user's own AWS account with read-only credentials for wasted resources and estimated monthly savings, then list, explain and get review-only fix guidance for each finding. Runs locally; nothing is sent to CloudWise.

Enables AI assistants to query and analyze data in Azure Data Explorer, Log Analytics, and Microsoft Sentinel using Kusto Query Language (KQL) through tools, resources, and prompts.

Enables MCP-compatible clients to inspect Argo CD applications, check sync and health status, list resources, review events, refresh applications, and optionally trigger sync operations.

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.

Provides offline access to AWS CDK API references and integration test code samples for both stable (aws-cdk-lib) and alpha (@aws-cdk) modules, enabling developers to browse CDK documentation through MCP resources.

A Model Context Protocol server implementation using Node.js, TypeScript, and Bun, designed for serverless and edge deployments on Vercel and Cloudflare.