"MCP server for task number 4 automation" matching MCP servers:

Enables LLMs to interact with Kibana through composable toolboxes for building dashboards, managing data, and handling alerts, among other operations.

An unofficial MCP server that connects AI assistants to Akamai APIs, providing tools for edge diagnostics, debugging, and network analysis.

Enables AI agents to interact seamlessly with Splunk environments through 20+ tools for search, analytics, data discovery, administration, and health monitoring. Features AI-powered troubleshooting workflows and supports multiple Splunk instances with production-ready security.

Enables managing Google Analytics 4 properties, data streams, conversions, and running reports using natural language through the Admin and Data APIs.

Shows your current Claude Desktop activity as Discord Rich Presence, including model, status, usage, and subscription info.

A comprehensive integration for Google Analytics 4 providing 54 tools for advanced reporting, configuration management, and compliance. It enables AI platforms to interact with GA4 data, manage properties, and automate business intelligence through the Model Context Protocol.

A lightweight MCP server that lets agents send email alerts for notifying humans when scheduled jobs fail, data is missing, or attention is needed.

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.

A comprehensive smart home automation system that allows AI assistants to control and monitor smart home devices through natural language using the Model Context Protocol (MCP).

An MCP server implementation that integrates AI assistants with Langfuse workspaces, allowing models to query LLM metrics by time range.

MCP server that integrates with VictoriaMetrics vmanomaly API to enable AI-assisted anomaly detection, model management, and configuration generation.

Bridges AI models with WinDbg to analyze Windows crash dumps and perform remote debugging through natural language queries, enabling execution of debugger commands and automated crash analysis.

Brings live project context into Slack via MCP, enabling developer teams to check service health, recall team decisions, search code, and query project context directly from chat.

Enables AI clients like Claude to triage, investigate, and operate Icinga installations through natural language, integrating with Icinga's REST APIs and providing deep awareness of monitoring plugins and historical performance data.

A read-only MCP server that exposes Kubernetes cluster telemetry tools (pods, events, logs, metrics, ArgoCD syncs) with automatic redaction for incident triage and hypothesis ranking.

Provides Model Context Protocol access to the Dynatrace platform API, letting AI agents run live queries against observability, security, and platform data and manage a Dynatrace environment. It is hosted remotely by Dynatrace, so MCP hosts can add it by name from the official registry without installing anything.

A remote MCP server that provides AI agents access to the Rootly API for incident management, allowing users to query and manage incidents, alerts, teams, services, and other incident management resources through natural language.

A remote, Dynatrace-hosted MCP server that gives AI agents live API access to your Dynatrace environment. It enables querying and analyzing observability, security, and platform data — such as DQL queries, logs, traces, problems, and dashboards — so agents can act on production context instead of static knowledge.

UniFi semantic-analysis MCP — 54 tools on Site Manager API and Cloud Connector. 8 workflow Prompts (4 fleet-ops + 4 MSP). Read-only.

Datadog MCP — 165 tools for metrics, monitors, logs, APM, RUM, incidents, CI/CD, fleet automation. Includes incident-triage-snapshot aggregation tool and 4 workflow Prompts.