"Amazon Fire TV" matching MCP servers:

Facilitate the management and automation of Amazon Sponsored Ads

Enables access to Amazon Managed Prometheus workspaces through natural language queries. Supports listing workspaces, executing PromQL queries, and retrieving workspace details and metrics with AWS authentication.

Enables real-time monitoring of Seattle Fire Department incident data, allowing users to check for active fires, evacuation orders, and retrieve live emergency response information through natural language queries.

Enables monitoring and analysis of Amazon RDS (MySQL, PostgreSQL) instances, metrics, and slow query logs via natural language.

Enables an AI assistant to read and query Amazon CloudWatch metrics, logs, and alarms through read-only MCP tools.

Enables querying AWS spend data via Cost Explorer and Amazon Bedrock usage data from CloudWatch logs using natural language. Supports cross-account access, local and remote deployment, and integration with Claude Desktop and LangGraph agents.

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 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.

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.

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.

Multi-channel inventory intelligence for Shopify and Amazon sellers. 28 tools for stockout risk, demand forecasts, purchase order management, and sales analytics — with human-in-the-loop safeguards.

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.

Enables querying Amazon EKS cluster metrics from the Kubernetes API server, with filtering by metric name and labels, supporting both exact and regex patterns.

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

Enables an AI assistant to set up and manage server-side conversion tracking by connecting ad platforms like Google Ads, Meta, and GA4, building and publishing conversion flows that fire when forms are submitted, installing tracking snippets, and reviewing conversion events. It also supports diagnosing missing conversions and excluding internal traffic, all through a hosted connector authorized against the user's own account.