Discover our curated collection of MCP servers for deployment & devops. Browse 2591servers and find the perfect MCPs for your needs.
Enables AI assistants like Claude to interact with and manage AWS resources using natural language.
Manage Proxmox hypervisors through a Model Context Protocol server, providing a clean interface for nodes, VMs, and containers.
Enables interaction with Elasticsearch clusters using natural language commands through a Model Context Protocol (MCP) server.
Securely executes Kubernetes commands from AI assistants like Claude by acting as a Model Context Protocol (MCP) server.
Automates browser testing and integrates with Cloudflare Workers and Browser Rendering.
Enables AI assistants to interact with Argo CD applications through natural language.
Enables interaction with the Dynatrace observability platform directly within development workflows.
Provides a high-performance Model Context Protocol (MCP) server for headless terminal interactions.
Enables conversational interaction with a PostgreSQL database, deployable as a remote MCP server with GitHub OAuth through Cloudflare.
Enables Claude to interact with ServiceNow instances by providing a Model Completion Protocol server implementation.
Enables secure command-line interactions on Windows systems for controlled access to various shells and remote systems via the Model Context Protocol.
Enhances software development workflows with AI-powered automation for Kubernetes deployment, documentation testing, and shared prompt management.
Manage AWS infrastructure using natural language commands through an intelligent AI-powered system.
Enables large language models to securely read, manage, and operate Salesforce resources.
Empower developers to rapidly prototype, develop, and deploy scalable AI-powered applications, including workflows and agents, using a unified TypeScript stack.
Empower Cursor AI to autonomously manage Home Assistant configurations, automations, and systems using natural language.
Unify code indexing, hybrid search, and LLM decoding into a plug-and-play retrieval stack for rapidly deploying context-aware AI agents.
Automates context management and agent orchestration for AI coding agents directly within your Git repository.
Captures an engineering playbook to provide AI context, guardrails, and governance for coding agents.
Empowers development teams with a 24/7 AI workforce comprising product managers, engineers, QA, and DevOps specialists to streamline software projects and enhance productivity.
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