Descubre nuestra colección curada de servidores MCP para deployment & devops. Explora 3452 servidores y encuentra los MCP perfectos para tus necesidades.
Deploys a remote Model Context Protocol (MCP) server on Cloudflare Workers with OAuth login.
Manage and deploy server configurations and scripts.
Provides a RESTful API for interacting with a Supabase database.
Integrates AI assistants with Statsig's feature flagging and experimentation platform for comprehensive feature management.
Provides automated, multi-language code feedback, validation, and project analysis through a secure API.
Provides a flexible server to fetch recommendations from the Taboola API.
Facilitates security scanning of container images using Kubescape CLI and offers AI-powered insights for compliance.
Generates a Multi-Agent Conversation Protocol (MCP) server from an OpenAPI specification.
Provides a clean, reusable TypeScript boilerplate for building Model Context Protocol servers.
Integrates OpenWebUI, Jupyter Notebook with Manim, and an MCP server into a Docker environment for AI-powered code execution and mathematical visualizations.
Expose a suite of essential penetration testing tools from Kali Linux as a standardized service for AI integration and automation.
Enables secure and efficient inter-process communication on Windows systems through memory-mapped files via the Model Context Protocol.
Automatically integrate GDPR-compliant cookie consent banners into websites with a single AI command.
Generate, validate, and persistently store AWS architecture diagrams directly from Python code using intelligent tools.
Manage Akamai Property Manager (PAPI) configurations, enabling AI assistants to read, validate, modify, and activate Akamai CDN properties.
Packages any command-line tool into an MCP server within a Docker container, providing AI coding assistants with structured, safe access.
Supervise development server lifecycles, detect reloads, check health, and recover from crashes specifically for AI coding agents.
Orchestrate autonomous AI coding agents in GitHub repositories through a high-performance, zero-backend control plane.
Orchestrates comprehensive interactions with the GitHub API through a supervisor-worker architecture, leveraging Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication for diverse automation tasks.
Enhance Claude's code generation to perform like a senior engineer, integrating multi-agent capabilities, token compression, safety hooks, and a UI design pipeline.
Scroll for more results...