Discover our curated collection of MCP servers for cloud infrastructure. Browse 1506 servers and find the perfect MCPs for your needs.
Integrates Model Context Protocol with Xano for remote tool management, session tracking, and OAuth authentication.
Deploys a remote Model Context Protocol (MCP) server on Cloudflare Workers without requiring authentication.
Enables AI agents to execute code in a sandboxed Google Cloud Functions environment.
Manages a full-stack TODO application with user authentication, extending its functionality for AI agent interaction using the Model Context Protocol.
Streamline DevOps processes by providing multi-server management, intelligent scenario mapping, and complete CI/CD lifecycle operations for Jenkins.
Deploys a Model Context Protocol (MCP) server on Cloudflare Workers with built-in OAuth authentication.
Provides SSH functionality for managing remote servers, executing commands, and performing file operations.
Integrates a custom agent server with the WAF framework using SQL queries.
Enables Model Context Protocol (MCP) compatible clients to interact with Cloudflare D1 databases.
Manages AI-enhanced context with semantic intent patterns, serving as a single source of truth for observable properties and intent preservation.
Deploys an unauthenticated remote AI Model Context Protocol server on Cloudflare Workers for custom tool integration.
Enables SSH connectivity and remote command execution for Model Context Protocol (MCP) clients.
Facilitates bidirectional synchronization of Qdrant vector database collections between local and remote instances.
Manages CloudLab/Emulab experiments, enabling AI assistants to directly interact with your experimental setups.
Provides a Model Context Protocol (MCP) server for interacting with and managing Kubernetes clusters.
Enables AI assistants to manage all Heroku platform operations, including application, deployment, dyno, logging, and configuration management.
Provides official Philippine national holiday data sourced from presidential proclamations to Large Language Models.
Query AWS CloudWatch metrics, logs, and alarms directly from AI agents.
Provides robust long-term memory capabilities for AI agents by leveraging AWS S3 Vectors for semantic search and DynamoDB for metadata management.
Enables natural language control over everyday IT tasks by integrating a local Model Context Protocol server with AI capabilities.
Scroll for more results...