"An application to assist individuals in responding to cardiac arrest situations" matching MCP servers:

Connects MCP clients to Gemini Cloud Assist APIs, enabling users to understand, manage, and troubleshoot their Google Cloud environment using natural language.

Enables users to describe their LLM fine-tuning job once and get the cheapest, fastest, and most balanced GPU options across a dozen cloud providers in seconds.

An MCP server that automates the backup of Cloudflare projects to a GitHub repository, providing a systematic way to preserve Cloudflare configurations and assets.

Publishes static sites to Drop2Run from an AI agent: hand it files written in the chat or a folder on disk, and it returns a live HTTPS URL. Six tools — publish_files, publish_dir, list_sites, delete_site, and login / login_code — with no git, no build step and no repository.

Enables AI assistants to monitor and troubleshoot AWS Application Signals services by tracking service health, analyzing SLO compliance, querying CloudWatch metrics, and investigating issues using distributed tracing with AWS X-Ray.

Enables secure, read-only querying of Google BigQuery datasets through a stateless MCP server with OAuth 2.1 authorization, designed for integration with Atlassian Rovo.

An unofficial MCP server for Percona Everest that enables AI-powered interaction with database clusters, including listing, retrieving details, credentials, and components.

Enables Claude Code to use Alibaba Cloud Token Plan models via a local proxy that maps Anthropic-style model names to Alibaba IDs and provides missing endpoints like model discovery.

Instant web hosting for AI agents. Publish a live site in one call, no account needed.

Provides tools for accessing Alibaba Cloud observability products including SLS (Log Service) and ARMS (Application Real-time Monitoring Service), allowing any MCP-compatible AI assistants to quickly interact with these services.

A Model Context Protocol (MCP) server that interfaces with the Apache YuniKorn Scheduler, allowing AI agents to observe and reason about Kubernetes batch workload resource management, queue hierarchies, and application states.

Enables AI assistants to query and manage KubeVela application delivery: check application status, trigger deployments, track workflows, manage addons, and more.

An MCP server that enables AI agents to interact with Modal, allowing them to deploy apps and run functions in a serverless cloud environment.

Provides comprehensive Heroku application management through the Heroku Platform API for AI assistants using the Model Context Protocol. It enables users to scale dynos, view deployment history, access logs, and manage environment variables through natural language.

Enables interaction with Coolify applications and resources through the Coolify API via a standardized interface, supporting application management operations such as listing, starting, stopping, restarting, and deploying.

An MCP server that allows AI assistants to execute SQL queries against Amazon Athena and retrieve results in structured formats.

An MCP server for managing and monitoring Docker, Docker Compose, and Kubernetes environments alongside Azure Application Insights. It enables advanced log filtering, container lifecycle management, and querying of cloud application traces and metrics.

MCP server bridging Spinnaker continuous delivery platform to LLMs for application, pipeline, and deployment management

Enables querying Azure Application Insights logs by order number through natural language. Provides secure access to Azure Monitor logs with comprehensive error handling and rate limiting.

Provides seamless integration with the XO platform for container deployment, application lifecycle management, and knowledge base operations. Enables AI assistants to deploy, manage, and interact with applications on XO infrastructure through natural language commands.