Discover our curated collection of MCP servers for deployment & devops. Browse 2221servers and find the perfect MCPs for your needs.
Unifies and expands access to multiple Model Context Protocol (MCP) servers by organizing them into flexible streaming HTTP (SSE) endpoints.
Ensures AI-generated code is production-ready by enforcing quality guardrails and deployability standards.
Provides AI assistants with a Model Context Protocol (MCP) server to build, test, profile, and manage Go projects.
Exposes any OpenAPI/REST API as modular command-line program (MCP) tools, enabling dynamic server switching and variable substitution.
Integrates multiple Static Application Security Testing (SAST) tools with Claude Code AI, enabling automated security analysis and vulnerability scanning directly from an AI assistant.
Transforms penetration testing into an intelligent, automated, and secure process.
Provides read-only access to Unix shell prompts via tmux, enabling AI assistants to safely observe terminal environments.
Enables AI models to gain full control over Mailcow email servers via the Model Context Protocol.
Provides a Flask and Gunicorn-based backend for integrating a personal chatbot into a website.
Provides an open-source server for interacting with Forward Networks' platform, enabling network data automation, analysis, and integration.
Wraps native Delphi (RAD Studio) compilers to enable automatic Debug/Release builds for Object Pascal projects.
Enables programmatic access to Apple's container command-line interface tool on macOS via a Model Context Protocol server.
Exposes PyTorch Lightning training and inspection functionalities through a structured, machine-readable interface.
Automatically detects and suggests fixes for security vulnerabilities in code, including AI-generated code and Infrastructure as Code.
Provides a remote Model Context Protocol server with GitHub OAuth authentication and integrated analytics tracking.
Enables AI agents to directly manage Supervisord processes, simplifying operations and reducing overhead for application lifecycle management.
Transforms existing Model Context Protocol (MCP) servers into importable Python libraries, enabling efficient and scalable AI agent tool usage.
Provides daily Wordle solutions by integrating with the official Wordle API.
Delivers real-time system metrics including CPU, memory, disk, network, and process information through a standardized Model Context Protocol interface.
Manage projects efficiently with collaborative Kanban boards for smooth and effective teamwork.
Scroll for more results...