Discover our curated collection of MCP servers for deployment & devops. Browse 2591servers and find the perfect MCPs for your needs.
Provides common operation interfaces for Jenkins jobs through a Spring AI-based MCP Server.
Extends server functionality to operate as a worker by proxying messages to an existing server.
Enables AI assistants to programmatically interact with DigitalOcean API endpoints through a Model Context Protocol (MCP) server.
Enables AI agents to manage Kubernetes clusters by providing a secure, standardized interface to the Cluster API (CAPI).
Provides a foundational backend server for specialized application needs.
Provides access to AWS S3 functionality through Model Context Protocol (MCP) compatible tools.
Performs comprehensive code quality and security analysis for Python backend development, delivering consistent and actionable reporting.
Connects AI assistants to the Plasma Testnet, enabling advanced blockchain interactions via the Model Context Protocol.
Establishes a reliable bridge for Playwright browser automation by managing persistent MCP servers on a host machine for containerized development environments.
Establishes a revolutionary AI-driven naming convention that encodes complete file context into filenames, facilitating autonomous AI code generation and human-AI collaboration.
Provides an MCP server to access The Movie Database (TMDB) for movie and TV data, including search, details, discovery, trending, and recommendations.
Provides AI agents secure, audited access to Docker, file systems, and notifications through a standardized Model Context Protocol (MCP) server.
Verify the functionality and discover capabilities of Model Context Protocol (MCP) servers using a dedicated testing environment.
Combines a sophisticated bi-temporal knowledge graph with dynamic automation tool generation to empower AI agents with persistent, time-aware memory.
Secures AI agents by detecting vulnerabilities, verifying governance declarations, and generating compliance reports for regulatory frameworks.
Provides a secure, isolated environment for executing Python code in ephemeral Docker containers with automatic dependency management and file persistence.
Integrates Airbrake error tracking and deploy management into your Model Context Protocol client.
Integrates the Komodo DevOps platform with AI assistants for natural language management of infrastructure, deployments, and builds.
Provides core tool implementations and shared helper code for the PlanetScale Model Context Protocol server.
Exposes Prometheus Alertmanager's alert listing and silence management capabilities as composable MCP tools.
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