Discover our curated collection of MCP servers for deployment & devops. Browse 2219servers and find the perfect MCPs for your needs.
Serves as a fast, secure server for WebAssembly plugins, enabling AI capabilities and extensibility for various applications.
Simplifies building backend applications in Go with modularity and observability.
Provides a secure, sandboxed runtime environment for various programming languages and WASI binaries across browsers, servers, and JavaScript runtimes.
Enables AI assistants to interact with Kubernetes clusters through natural language via the Model Context Protocol (MCP).
Simplifies Kubernetes cluster management with an AI-powered, lightweight dashboard featuring multi-cluster support and intelligent analysis.
Enforces Protocol Buffer style and conventions through linting and automated fixes.
Manage Docker containers using natural language commands.
Analyzes software composition to extract inventory data, detect vulnerabilities, and generate SBOMs.
Facilitates rapid mastery of microservice and distributed project architecture design and development processes.
Enables MCP-compatible AI agents to deploy applications to Cloud Run.
Generates Model Context Protocol (MCP) servers from OpenAPI specifications, enabling AI agents to interact with existing REST APIs.
Installs and manages Model Context Protocol (MCP) servers, remaining client-agnostic.
Provides an MCP server for programmatically managing n8n workflows.
Manages the lifecycle of Flux CD on Kubernetes, extending it with self-service capabilities and preview environments.
Manage Docker containers and compose stacks through natural language with Claude AI.
Manages the lifecycle of plugins for the Dify API server, supporting local, debug, and serverless runtimes.
Implements a Model Context Protocol (MCP) server for Kubernetes and OpenShift, enabling seamless interaction and management of Kubernetes resources.
Manage, govern, and optimize third-party API consumption across applications and AI agent workloads at scale.
Enables agentic AI workflows for developers using Docker containers and Markdown prompts.
Connects to Kubernetes, providing a Model Context Protocol (MCP) server for interacting with Kubernetes resources.
Scroll for more results...