Discover our curated collection of MCP servers for cloud infrastructure. Browse 1497 servers and find the perfect MCPs for your needs.
Enables AI agents and assistants to interact with services by setting up an MCP server using Cloudflare Workers.
Serves resume data via the Model Context Protocol (MCP) using Cloudflare Workers and Durable Objects.
Enables Claude Desktop to execute bash commands and scripts within any WSL2 Linux distribution on Windows.
Enables AI assistants to securely execute Azure CLI commands for managing cloud resources.
Provides a robust template for developing Model Context Protocol (MCP) servers compatible with the Xava Labs TypeScript Agent Framework.
Deploys a remote Model Context Protocol (MCP) server with integrated Google OAuth for secure client authentication and access control.
Deploys a Model Context Protocol (MCP) server designed to run on AWS Lambda, integrating custom tools with AI clients.
Manage Kubernetes clusters and resources by connecting to the Model Context Protocol (MCP) server.
Provides granular insights into Google BigQuery costs to facilitate financial optimization.
Connects AI assistants with the Fergus job management platform, facilitating intelligent interaction and automation of business workflows.
Simplifies PostgreSQL database management by providing global connection pooling, PgBouncer integration, and automatic password rotation for AWS RDS.
Provides essential insights into the performance and health of microservices in Kubernetes environments.
Provisions remote Claude Code sandboxes with pre-installed tools and a bundled Skills pack for streamlined development workflows.
Provides a centralized interface for managing and monitoring various homelab services.
Performs initial candidate screening by analyzing hybrid chat and video stream inputs to assess skills, confidence, and sentiment against job descriptions.
Builds a lightweight server to efficiently interact with the complete Cloudflare API, streamlining cloud management tasks.
Provides AI-powered real-time cloud cost analysis, waste detection, and optimization insights across AWS, GCP, and Azure.
Provides infrastructure knowledge, Kubernetes validation, and execution templates for AI agents.
Bridges AI agents and external clients with browser capabilities, providing WebSocket communication, REST API proxying, and Model Context Protocol support.
Enables AI assistants to securely connect to remote machines, execute commands, transfer files via SFTP, and manage interactive shell sessions over SSH.
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