"Apple TV" matching MCP servers:

Owner-side Apple Podcasts analytics over the Podcasts Connect Reporter protocol: plays, unique and engaged listeners, followers, and per-episode listening for a show you own. Not the public iTunes catalog — this is the data Apple's hosting API does not expose.

Local MCP server for Apple platform console, unified, and diagnostic logs. Enables listing devices and capturing live logs from simulators and real devices.

Provides tools to search for apps and music via the iTunes Search API and monitor the operational status of various Apple system services.

Exposes a Kubernetes cluster to MCP-compatible AI clients, enabling read-only and optional write operations on cluster resources like pods, deployments, and namespaces through natural language.

MCP server for querying and analyzing TensorBoard event files, enabling AI agents to extract scalar data, statistics, and correlations without a running TensorBoard server.

Enables MCP clients to call the platform's full API as individual tools—covering evals, criteria, gates, logs, datasets, aliases, label sets, audit/proving, dedicated endpoints, and training—with validated inputs and raw API responses.

Enables AI agents to index TouchDesigner installations, control live instances with undoable batches and health checks, and inspect saved .toe projects offline.

Enables recording a Wine or macOS program on an Apple silicon Mac and analyzing its GPU usage — GPU milliseconds per frame, frame pacing, FPS and memory — through Instruments' Metal System Trace, and also reads Metal .gputrace captures without Xcode and reports Apple's published GPU family facts. Recording, listing, comparing, and paging through traces and captures are exposed as tools that a shell or an AI coding agent can call directly.

Enables AI assistants to manage factory operations through MCP, providing tools for real-time telemetry, predictive maintenance, inventory forecasting, order estimation, and AI supervisor copilot capabilities.

Exposes WAVE streaming APIs as tools for AI assistants to manage live streams, studio productions, and real-time analytics. It enables users to control stream lifecycles, monitor health metrics, and access billing usage through the Model Context Protocol.

An MCP server that provides access to the Mixpanel REST API, enabling AI agents to query events, funnels, retention data, and user profiles. It allows users to perform complex analytics tasks and export raw event data through natural language prompts.

A Model Context Protocol server that enables AI assistants to interact with Sentry for error tracking and monitoring, allowing retrieval and analysis of error data, project management, and performance monitoring through the Sentry API.

MCP Server for notify to telegram / weixin

A Model Context Protocol server that exposes TP-Link Omada controller APIs to AI copilots and automation workflows, enabling listing sites, devices, clients, and invoking arbitrary Omada endpoints.

MCP server for Yandex Webmaster API v4.1 with 37 tools covering indexing, search queries, diagnostics, recrawl, sitemaps, links, and important URL monitoring.

Enables MCP clients to triage SOC alerts while enforcing a trust firewall across retrieval, memory, and privileged actions. It exposes tools for alerts, logs, memory, and alert actions, with defenses that refuse risky operations in the presence of attacker-controllable content.

Enables AI assistants to programmatically create, execute, and analyze Apache JMeter performance tests. It supports automated bottleneck detection, report generation, and distributed testing management through natural language.

Enables querying and managing Sentry projects, issues, and events through natural language.

A read-only MCP operations console for monitoring an algorithmic trading fleet, providing heartbeat, reconciliation, alert, and audit data through six typed tools.

Enables real-time monitoring of system resources including CPU, GPU (NVIDIA, Apple Silicon, AMD/Intel), memory, disk, network, and processes across Windows, macOS, and Linux platforms through natural language queries.