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.
A scheduled MCP server that monitors Auth0 users by periodically collecting summaries, detecting suspicious admins, and auto-blocking them; it provides instant reports via SQLite and exposes tools for on-demand collection and configuration.
Enables monitoring Auth0 users by collecting summaries, storing reports in SQLite, and auto-blocking suspicious admins, all through MCP tools without an LLM.
Voice-powered bug reporting MCP server with 13 tools. Captures console logs, network errors, DOM traces, and developer voice descriptions. AI reads structured reports to find and fix bugs automatically. Chrome Extension + Python CLI.
Enables auditing and monitoring of AI agent MCP tool calls, with behavioral anomaly detection, lab-scoped red-team simulation, and Telegram notifications.
An MCP server that monitors 12 Australian SMB intelligence sources to analyze market signals and provide structured data for content strategy agents. It enables users to track regulatory changes, AI trends, and business data through automated signal grading and Slack integration.
Enables interaction with the Admina API to manage and query organizational SaaS resources including devices, user identities, service integrations, and account information across multiple services.
Enables retrieval, setting, and detailed information lookup of EPICS process variables (PVs) for monitoring and controlling hardware or software parameters.
Enables MCP clients to query YouTube channel health, diagnose video performance, full-text search transcripts, and vet topics/scripts directly from an editor or chat interface.
The MCP server provides an interface to the Datadog API, enabling seamless management of incidents, monitoring, logs, dashboards, metrics, traces, and hosts. Its extensible design allows easy integration of additional Datadog APIs for future expansions.
Enables AI assistants to interact with Splunk Enterprise and Splunk Cloud instances through standardized MCP interface. Supports executing SPL queries, managing indexes and saved searches, listing applications, and retrieving server information with flexible authentication options.
An MCP server that connects to Sentry.io or self-hosted Sentry instances to retrieve and analyze error reports, stack traces, and debugging information.
Enables helpdesk operators to manage Horizon user sessions, restart or log off desktops, monitor pool health, and diagnose performance issues through natural language.
Enables classification of GPU workloads as training, inference, or idle from telemetry data, with tools for one-shot classification, benchmarking, and audit log verification.