"AWS cloud service monitoring" matching MCP servers:

A unified MCP server for AWS that enables natural language infrastructure management, cross-service resource discovery, and dependency mapping. It features 30 intelligent tools for cost optimization, incident investigation, and multi-account operations protected by a robust safety system.

Enables AI assistants to create and manage Cursor Cloud Agents that autonomously work on GitHub repositories, including creating tasks, monitoring progress, and automatically generating pull requests.

Provides a chat interface with natural language processing to deploy and manage AWS resources through an integrated Model Context Protocol (MCP) server.

Provides GPU-accelerated gradient boosting model training and inference through a cloud service. Enables AI agents to train models on NVIDIA A10G GPUs and get fast cached predictions with portable model artifacts.

This server implements the Multi-Agent Conversation Protocol for AWS SecurityHub, enabling interaction with AWS SecurityHub API through natural language commands.

Enables AI assistants and other MCP clients to launch and steer Cursor Cloud Agents on repositories or as repo-less research tasks, including model selection, mid-run follow-ups, cancellation, result retrieval, and run listing. Also exposes authentication checks and per-agent or per-run token usage and cost reporting.

OS keychain secrets for AI coding agents, over MCP. Anchors credentials to the native vault (macOS Keychain, Linux Secret Service, Windows Credential Vault) and exposes them through 44 policy-governed tools: per-environment values, TTL, linked rotation, encrypted transfer bundles, redacted exec, and a tamper-evident audit log. Local-first, no cloud account.

Enables multiple AI coding-agent sessions on one machine to hand tasks to each other and get results back through a shared local folder of JSON messages, with no cloud, database, or network service. Supports direct messages, broadcasts, blocking receive, and an optional headless worker that picks up, runs, and auto-replies to tasks.

Enables AI assistants and MCP clients to launch and manage Cursor Cloud Agents on repositories or without one, select models, follow up mid-run, retrieve or cancel results, and check usage and cost.

Discovers and routes across 251+ x402-enabled payment services with smart routing strategies (cheapest, fastest, most trusted) and signed attestations. Provides real-time health monitoring, facilitator compatibility checks, and service quality scoring for the x402 agent payment ecosystem.

Monitoring that agents set up for themselves — cron jobs, CI/CD pipelines and AI agent runs.

Enables delegating coding tasks to Cursor Cloud Agents from Claude Code, Codex, or Grok, with scoped repository access, progress monitoring, follow-ups, and result reporting.

MCP server for AWS SSO authentication and profile management, enabling AI assistants to check identity, switch profiles, and manage EC2/EKS resources.

Enables AI agents to control NetEase Cloud Music playback, login, search, and get personalized recommendations through official APIs.

9 tools, Lightning-gated. Pay per call. For agents that need verifiable signed actions with an audit trail. Nostr event signing via daemon Publish events to relays Create Lightning invoices Action receipts — signed proof of agent actions Identity attestation

Enables control and monitoring of Wyze smart home devices through AI assistants. Supports device discovery, control (on/off, brightness, color), group management, and health tracking for scales with real-time status monitoring.

A Model Context Protocol server that enables agent applications like Cursor and Cline to integrate with Alibaba Cloud Function Compute, allowing them to deploy and manage serverless functions through natural language interactions.

Enables AI assistants to interact with PingOne Advanced Identity Cloud environments through natural language, supporting user management, authentication theme customization, log analysis, and identity data queries with secure OAuth 2.0 authentication.

Enables AI agents to deploy applications to AWS with DevOps capabilities by automatically inferring infrastructure needs from code and generating inspectable Infrastructure as Code specifications.

Enables management and provisioning of AWS resources like EC2, S3, and RDS using natural language prompts through the Model Context Protocol. It allows users to automate complex infrastructure tasks, such as setting up VPCs and security groups, via a chat interface.