Discover our curated collection of MCP servers for deployment & devops. Browse 2219servers and find the perfect MCPs for your needs.
Offers a curated collection of production-ready Model Context Protocol (MCP) servers published and monetized on Apify.
Converts existing API endpoints, defined by OpenAPI Spec or Swagger, into Model Context Protocol (MCP) servers without manual coding.
Enable natural language control of Ubuntu/Linux servers from your Windows computer via SSH connections using AI assistants.
Implement B2B feature flagging with a built-in feedback loop using these JavaScript and TypeScript SDKs.
Enables AI agents to automate and manage Azure DevOps operations, including boards, repositories, pipelines, artifacts, test plans, and wikis.
Provides a lightweight foundation for building and deploying intelligent systems that manage and expose AI/LLM capabilities.
Manages feature flags and configurations within ConfigCat through its public management API.
Enables AI assistants to query and manage Prometheus Alertmanager resources programmatically and securely.
Automates interactions with the Aptos Build platform for managing API keys and other build-related actions.
Enables real-time communication using Server-Sent Events (SSE) based on the Model Context Protocol (MCP).
Enables interaction with Backstage templates via a command-line interface using Goose.
Integrates with KubeSphere APIs to enable resource retrieval.
Enables secure remote execution of Rails console commands over SSH for data wrangling and analysis.
Simplifies Kubernetes management through conversational AI, enabling real-time diagnostics and resource monitoring.
Orchestrates a self-spawning team of AI coders to develop software projects using multi-agent coordination and a web-based dashboard.
Manages MongoDB Atlas projects, clusters, users, and network access through the Model Context Protocol (MCP).
Provides a production-ready framework for building and scaling MCP servers with features like Redis-backed state management and delegated OAuth support.
Generates AI-powered CSS and integrates Tailwind CSS into various development environments.
Implements a Model Context Protocol (MCP) server using AWS Lambda and SAM for serverless operation.
Exposes Prometheus discovery and query tools to Model Context Protocol (MCP) compatible applications.
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