Discover our curated collection of MCP servers for cloud infrastructure. Browse 1447 servers and find the perfect MCPs for your needs.
Provides deployment infrastructure and server implementations for Columbia's Model Context Protocol (MCP) servers.
Deploys a remote Model Context Protocol (MCP) server on Cloudflare Workers without requiring authentication.
Deploys an authentication-free remote Model Context Protocol server on Cloudflare Workers for AI agent integration.
Manages Google Cloud Dataproc clusters and jobs through a standardized Model Context Protocol interface.
Provides SSH functionality for managing remote servers, executing commands, and performing file operations.
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.
Provides temperature conversion functionality through an HTTP-based Model Context Protocol (MCP) server.
Generates production-ready Apollo GraphQL servers directly from BigQuery SQL queries, incorporating Dataplex lineage tracking for robust data governance.
Exposes the VaultMesh-Architect skill as explicit, auditable tools, supporting subsystem spawning, multi-chain anchoring, governance entries, and capability issuance.
Provides a foundational server implementation for the Anthropic Model Context Protocol, enabling debate search and citation functionalities.
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.
Provides natural language access to the SiteBay WordPress hosting platform for comprehensive site management and command execution.
Manages local files and cloud backups intelligently, organizing folders, removing duplicates, and integrating with Google Drive for automated storage.
Provides a centralized interface for managing and monitoring various homelab services.
Provides a comprehensive platform to view and interact with Kubernetes clusters through a dashboard, REST API, and AI-enabled Model Context Protocol (MCP) server.
Enables AI assistants to manage all Heroku platform operations, including application, deployment, dyno, logging, and configuration management.
Query AWS CloudWatch metrics, logs, and alarms directly from AI agents.
Enables two LLMs to play Tic-Tac-Toe against each other using a single MCP tool as a turn-based communication relay.
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