"Apple TV" matching MCP servers:

Enables AI assistants to manage cloud infrastructure through natural language by providing a unified interface to the Dokploy platform. Supports Docker containers, applications, databases, domains, monitoring, and deployment operations through conversational commands.

Enables AI agents to manage Apple App Store Connect through the official API, including apps, metadata, reviews, TestFlight, provisioning, users, and reports.

Enables AI assistants to read-only access Apple Health data through three tools: current status and sleep, detailed metrics, and 7/14/30-day trends, deployed via one-click on Cloudflare with private-key authentication.

MCP server for Apple App Store Connect API, enabling management of apps, subscriptions, pricing, and more from MCP-compatible clients. Features subscription pricing with Purchasing Power Parity rebalance.

A read-only MCP server that provides tools to list and read devices, MDM servers, blueprints, configurations, apps, packages, users, and other resources from Apple Business Manager and Apple School Manager.

An MCP server that exposes the Apple App Store Connect API to AI agents, enabling management of apps, metadata, in-app purchases, subscriptions, TestFlight, provisioning, reviews, analytics, and more through 113 curated tools plus two generic JSON:API escape-hatch tools.

Provides AI clients policy-checked, audited, and approval-gated access to Telos Nexus infrastructure through provider-specific MCP servers behind a gateway, starting with Cloudflare.

Enables AI agents to browse, price, rent, manage, and stop GPUs, top up balances via x402, and register their own accounts, with read-only defaults until spending is explicitly enabled.

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.

A simple MCP server that provides a basic greeting tool and serves as a starter template for AWS Lambda deployment. Demonstrates how to build and deploy MCP servers with both local development and cloud deployment capabilities.

Publishes what an AI made — a page, a markdown or PDF doc, or a whole site — to a live HTTPS link. Runs locally over stdio from the @drop2run/mcp npm package, or hosted at https://mcp.dropto.run/mcp for chats that connect by URL.

Enables AI agents to manage infrastructure by exposing Terraform tasks and deployments as tools via STDIO or SSE.

Enables making REST API calls to Teradata cloud services including Elastic Compute, Vector Store, OMS, and QueryGrid. Supports custom authentication, Socks5 proxy, and multipart file uploads.

Connects AI tools to BlazeMeter's Service Virtualization platform, enabling natural language management of virtual services, transactions, and configurations.

Automatically update AWS credential files with temporary STS tokens and retrieve credential info, enabling secure credential management via Agent tools.

Enables interaction with Tencent Cloud Object Storage (COS) through MCP protocol. Supports file upload, download, deletion, listing objects, and generating temporary signed URLs for cloud storage management.

Enables AI assistants to interact with Terraform Cloud workspaces and runs, including checking run status, listing workspaces, and retrieving detailed information about workspaces and runs.

Enables interaction with the RunPod REST API to manage GPU pods, serverless endpoints, templates, network volumes, and container registry authentications through natural language.

Enables integration with Google Cloud Vertex AI Search for enterprise search capabilities through a stdio-based MCP server.

Enables AI assistants to perform comprehensive Snowflake database operations including DDL, DML, and warehouse management. It allows users to query data, manage database objects, and configure permissions using natural language commands.