Discover our curated collection of MCP servers for deployment & devops. Browse 1964servers and find the perfect MCPs for your needs.
Coordinates specialized agents to plan, build, test, and deploy applications with self-healing, authentication, and analytics, enabling autonomous software engineering workflows.
Provides a unified infrastructure interaction layer for LLM Chat and Gitlab Agent services.
Integrates with Azure DevOps to manage backlogs, work items, and execute queries via a standardized Model Context Protocol (MCP) interface.
Integrates AI assistants with Docker infrastructure, enabling large language models to safely and efficiently perform container operations.
Integrates AI assistants with GitLab, providing intelligent context awareness, URL deduction, and over 143 specialized tools for various operations.
Provides a centralized FastAPI server offering a unified interface for all Model Context Protocol (MCP) tools.
Unifies development best practices across multiple programming languages into a single, comprehensive Model Context Protocol (MCP) server.
Enables remote, programmatic, or containerized execution of shadcn CLI commands via an MCP server.
Provides access to Cloudeka's cldkctl CLI functionalities as Model Context Protocol (MCP) tools for AI clients like Claude Desktop and Cursor.
Manages Huawei Cloud Container Engine (CCE) clusters and Kubernetes resources through a unified interface.
Automates the setup of custom CI/CD pipelines for AWS Amplify Gen 2 applications with comprehensive auto-fix capabilities.
Manages bash commands asynchronously, enabling parallel execution and independent progress monitoring for AI agents.
Provides a Model Context Protocol server to interact with Google Cloud Billing, Logging, and Monitoring services using natural language.
Bridges communication bi-directionally between MCP and HTTP, designed for modern microservices architectures with a focus on scalability, reliability, and observability.
Provides a robust interface to manage Docker and Podman containers, networks, volumes, and Docker Swarm services.
Automates frontend code reviews and intelligently generates unit tests for Phabricator diffs and Git commits.
Exposes Docker and Docker Swarm commands as Model Context Protocol (MCP) tools.
Provides secure access to Kali Linux web penetration testing tools for AI assistants in a controlled Docker environment.
Exposes team information through a Model Context Protocol (MCP) server utilizing HTTP streaming transport.
Manages Jira Service Management (JSM) asset schemas via the Model Context Protocol (MCP).
Scroll for more results...