"How to retrieve information about a device using Microsoft Defender, Intune, and Jamf" matching MCP servers:

Enables natural language interaction with Jamf Pro, Jamf Protect, and Jamf Security Cloud, allowing users to manage devices, security alerts, and configurations through Claude Desktop.

Enables AI assistants to interact with Jamf Pro for comprehensive Apple device management, including device inventory, policy deployment, configuration profiles, script execution, and compliance reporting.

HandaaS的MCP服务器，提供全域资讯搜索、企业新闻、行业资讯、主题跟踪和企业动态监控能力，帮助用户开展行业研究和舆情分析。

Enables registration, monitoring, and control of IoT devices via AI agents, with local storage and no cloud API key required.

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 security investigation and threat hunting through Microsoft Defender and Entra ID, with 31 tools for KQL queries, alerts, threat intelligence, identity investigation, and advanced threat hunting.

Provides comprehensive system diagnostics and hardware analysis through 10 specialized tools for troubleshooting and environment monitoring. Offers targeted information gathering for CPU, memory, network, storage, processes, and security analysis across Windows, macOS, and Linux platforms.

Provides real-time system metrics and information through a Model Context Protocol interface, enabling access to CPU usage, memory statistics, disk information, network status, and running processes.

Provides tools to monitor host system health including CPU load, disk usage, and network status while enabling file system management tasks like searching and moving files. It includes built-in safety guards to prevent operations on critical system directories.

Enables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.

Enables retrieval of simulated device logs (activation, LAN, WLAN) and Kafka status for testing purposes by querying with device serial numbers.

A local, detection-first Windows MCP server that groups Device Manager interfaces into physical devices, provides explanations, and enables read-only inspection and update auditing without modifying any devices or drivers.

Exposes a synthetic issue tracker and pipeline warehouse as callable tools so an agent can answer operational questions about tickets, pipeline health, runs, incidents, and governed metrics with every claim cited to the exact tool call it came from. All writes are proposal-only, requiring human approval through a gated apply path that logs each step for audit.

Enables named, authenticated callers to run read-only introspection of a Google Cloud project and to read and write per-tenant notes that stay isolated between callers. Every request is scope-checked against a reviewed policy, rate-limited per caller, and audited without ever logging argument values.

An MCP server that provides cost and reliability observability for LLM and agent workflows. It records model calls and allows querying and aggregating telemetry data through MCP tools.

Enables AI agents to monitor Docker containers, system resources, ports, and logs in real-time.

Enables AI assistants and automation tools to manage Microsoft 365, Entra ID, and Intune resources through 32 tools for user/device/file management and infrastructure monitoring.

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.

A comprehensive MCP server providing advanced Redmine project analytics, web automation via Playwright, and iTunes music integration. It enables detailed tracking of sprint metrics, bug counts, and team performance through a token-optimized tool architecture.

Enables AI agents and users to manage workspace files, monitor system metrics, take persistent notes, and retrieve weather data via MCP tools and resources.