"How to play a sound notification when a task is completed" matching MCP servers:

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.

Read-only MCP server for TrueNAS Scale debugging, providing k3s tools for kubectl operations and whitelisted midclt calls for system info, apps, and pools.

Fetches Langfuse observability traces directly into a VS Code coding agent's context, enabling querying and viewing trace data through natural language.

MCP server for Kibana / Elasticsearch — log search, aggregations, index discovery, and dashboard browsing. Hits Elasticsearch REST API directly for log queries; falls back to Kibana Console proxy when no direct ES URL is configured. Supports ApiKey auth (best for agents), Basic auth, and anonymous access. All 5 tools are read-only (readOnlyHint: true). Returns structured JSON (outputSchema).

Relays error logs from other MCP servers when an LLM call fails and the returned error message is unclear, helping the model handle errors more intelligently.

Enables AI assistants to administer a CCX platform's SRE/operations side: list datastores and users, inspect nodes, jobs, audit logs, and billing usage, and optionally suspend users or force-delete datastores when unlocked.

A Python MCP server that reduces token usage by ~98% when working with log files by auto-detecting format and stripping noise to return only actionable signal.

Tracks AI agent token usage and spending in real time, with budget alerts, per-task cost breakdown, and a visual dashboard.

Session Watcher treats your prompt cache as inventory — it uses EOQ theory to tell you whether the current context is still worth carrying, and when to restart. Works with any session-based coding agent.

MCP server for Yandex AppMetrica analytics, enabling Claude to access reports, raw event logs, crash data, and push notification campaigns.

Enables measuring the cost of completed agent workflows from runtime session logs and submitting results to the AMI survey.

A read-only MCP server for AppDynamics that exposes 12 task-oriented tools to query applications, topology, metrics, snapshots, health rules, anomalies, events, alerting config, analytics events, and dependency maps via OAuth API-client credentials.

Enables secure interaction with Nagios Core for querying host and service status, acknowledging problems, adding comments, scheduling forced checks, and reading notification history.

CloudOps MCP is a read-only Model Context Protocol server that exposes normalized operational infrastructure context (logs, metrics, deployments, health) to AI agents through a small set of typed, bounded tools.

Enables AI agents to query MQTT message history stored in SQLite, including topic inventories, last values, historical data, silent devices, and collector connection gaps. Supports publishing messages when write mode is enabled.

Enables MCP-aware AI agents to query the local machine's health over stdio, retrieving CPU, memory, disk, and load-average metrics along with boot time and the top processes by CPU usage. It gives coding agents a structured, protocol-standard way to answer questions like whether it is safe to run a build or what is currently consuming resources.

Etch is a signed audit chain for AI agent decisions, offline-verifiable against pinned public keys.

Enables an AI assistant to answer plain-language questions about a TP-Link Omada network — why Wi-Fi drops, which switch port a device is on, which VLAN it uses, and whether radar or interference is at play — by reading switches, access points, SSIDs, clients, topology and logs through 59 tools. It stays read-only unless two separate gates are opened, and any change is dry-run first, then read back and diffed.

A security proxy for MCP servers: wrap any server's launch command and every tool call is screened and recorded before it runs. Set the posture to enforce and a dangerous call is stopped and handed back to your agent as coaching it can act on.