Discover our curated collection of MCP servers for deployment & devops. Browse 2344servers and find the perfect MCPs for your needs.
Manages Jira Service Management (JSM) asset schemas via the Model Context Protocol (MCP).
Retrieves and analyzes issues from Sentry.io or self-hosted Sentry instances using the Model Context Protocol.
Enables Codename Goose AI agent to interact with a Minikube cluster via a Model Context Protocol (MCP) server.
Enables interaction with GitLab API through a command-line interface.
Integrates with S3 for server-side functionality.
Enables AI assistants to interact with feature flags for dynamic application behavior.
Enables AI assistants to query and analyze Prometheus metrics through standardized Model Context Protocol (MCP) interfaces.
Provides a versatile ToolRegistry OpenAPI/MCP server for AI platforms like Open-WebUI and Cherry-Studio.
Automates AWS infrastructure deployment using natural language commands and the Model Context Protocol.
Provides a server for programmatically building and flashing Zephyr microcontroller projects.
Provides a Model Context Protocol (MCP) server for comprehensive management of Tailscale resources.
Enables intelligent repository analysis and AI-powered development assistance via an enterprise-grade Model Context Protocol (MCP) server.
Orchestrates and manages security scans through a Model Context Protocol (MCP) interface.
Provides high-performance POSIX system monitoring capabilities for AI clients like Claude Desktop and Cursor through a Model Context Protocol server.
Manage and deploy Scaleway Serverless Functions via the Model Context Protocol.
Integrate with the Cloudflare API to manage zones, DNS, KV storage, and cache operations via the Model Context Protocol.
Integrate AI assistants with Home Assistant for comprehensive control over smart home devices, automations, and system management.
Generates and serves a web documentation site directly from your project's Markdown files, enabling quick setup and AI tool integration.
Transforms isolated Claude Code sessions into collaborative AI collectives using an intelligent agent swarm framework.
Orchestrates the complete machine learning lifecycle, from secure credential management and dataset preparation to multi-backend model training, cloud GPU provisioning, experiment tracking, and local model deployment.
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