"Amazon Fire TV" matching MCP servers:

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

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

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.

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 governed, read-only investigations of Amazon Athena access logs by searching exact user, IP, or correlation indicators and summarizing activity by correlation ID, with parameterized queries, validation, and result limits.

Enables AI assistants to analyze Amazon EKS node logs collected by the EKS Log Collector script. It provides tools and troubleshooting workflows for diagnosing issues with VPC CNI, kubelet, DNS, and general node connectivity.

Enterprise MCP gateway suite providing 22 unified tools across hardware telemetry, security auditing, AES-256-GCM encrypted storage, HMAC verification, and Amazon Bedrock media generation.

Enables external CLI agents to directly operate TauriTavern via MCP, including reading runtime data, executing STScript, sending messages, switching characters, and running JavaScript diagnostics in iframes.

MCP server for read-only CrowdStrike Falcon visibility, enabling AI agents to list and retrieve detections, alerts, hosts, incidents, perform IOC lookups, and run LogScale queries.

Streams real-time log context from Amazon MSK to a Bedrock AI agent for anomaly detection and root cause analysis. Enables AI-powered monitoring with WebSocket push and IAM authorization.

Enables secure analysis of log files by listing, summarizing, and searching for error patterns, with defenses against path traversal, symlink attacks, and data leakage.