"OBS Studio" matching MCP servers:

Read-only ops/health MCP server for a local vLLM instance: health tiers, GPU/VRAM, service status.

Exposes homelab and IT-ops tools to Claude, including system health monitoring, Grafana alert states, Docker container status, Loki logs, SMART disk health, and more.

Exposes network-monitoring tools (query metrics, analyze windows, compare, logs, status, runbooks, speed tests) as an MCP server for agentic workflows. Designed with evaluation suites, cost-aware model routing, and semantic tool retrieval.

An MCP server that enables natural language querying and troubleshooting of Kubernetes clusters, supporting multi-cluster switching and providing tools for pods, nodes, events, and logs.

Provides transactional intelligence for AI agents, enabling safe tool execution with pre-flight invariant checks, sub-second filesystem snapshots/rollback, causal tracing, belief contradiction detection, and 15 native MCP tools for Claude Code.

An MCP server for controlled server operations via BaoTa Panel, providing 50+ tools for system, site, database, files, cron, Docker, and network management with safety features like permission tiers, credential masking, and audit logs.

A dependency-free MCP server providing tools for tailing logs, checking endpoint health, and searching/updating a runbook of past fixes.

Provides tools for AI assistants to manage and diagnose MWAA Airflow environments, EMR Serverless jobs, S3 files, and Confluence documentation. It features automated pipeline failure diagnosis and comprehensive log retrieval across these integrated platforms.

Enables AI agents to run container forensics, generate container obituaries, and audit git repository history as native MCP tools, producing markdown reports they can reason over.

Provides tools to query and calculate AWS EBS performance metrics from CloudWatch, including IOPS, throughput, and latency. It also enables users to manage snapshots and retrieve advanced diagnostic data like I/O utilization and burst balance.

Enables AI assistants to interact with self-hosted Dynatrace Managed environments to retrieve observability data, security insights, and performance metrics. It allows users to query problems, logs, events, and SLOs through natural language interfaces in both local and remote modes.

A Model Context Protocol server that lets AI assistants interact with the Sentry API to retrieve and analyze error data, manage projects, and monitor application performance.

Enables unified management of maintenance windows and incidents across Atlassian Statuspage and Uptime Kuma. It allows AI assistants to schedule maintenance, update service statuses, and list monitors through a single MCP-compatible interface.

Provides read-only access to multiple production services with unified status and timeline tools for cross-service monitoring and diagnostics.

Provides MCP tools for querying LinkYun operations metrics, including listing metrics, querying metrics, managing agents, and home recommendations, by forwarding requests to the LinkYun Agent Ops HTTP API.

A read-only MCP server that lets an AI assistant inspect a single AWS lab instance's EC2 health, recent system/nginx errors from CloudWatch, and nginx service status via SSM, with strict allowlisting and no generic shell access.

Enables MCP clients to query an organization's Traceorb telemetry data through the same GETs the panel uses, using a read key for authentication.

Enables read-only operational audits of schedulers, recurring job health, delivery failures, overdue runs, gateway/MCP health, and lock-file inventory without modifying inspected systems.

A server monitoring and inspection tool collection that provides remote utilities for checking network interfaces, service statuses, and firewall configurations on servers.

Enables interaction with FireHydrant's incident management API through the Model Context Protocol. Provides programmatic access to FireHydrant's features for managing incidents, retrospectives, and operational workflows.