Discover our curated collection of MCP servers for deployment & devops. Browse 2223servers and find the perfect MCPs for your needs.
Provides a REST API and Model Context Protocol (MCP) server to facilitate interaction with Icinga Web 2 and its Icinga DB Web module.
Automates the entire software development lifecycle by strictly separating cognitive planning, atomic execution, and precision coding.
Exposes Docker functionality to AI assistants like Claude, enabling management of containers, images, networks, and volumes through a type-safe API.
Provides a Model Context Protocol (MCP) server for comprehensive management of Tailscale resources.
Aggregates multiple backend services behind a single, secure HTTP endpoint, providing unified access and authentication.
Provides a development template for building StreamableHttp services with flexible authentication, dynamic service registration, and customizable middleware.
Automates Dynamic Application Security Testing (DAST) using OWASP ZAP, enhanced with cognitive analysis from Google Gemini AI.
Integrates with S3 for server-side functionality.
Monitors, diagnoses, and automatically resolves issues in containerized applications using AI-powered incident analysis.
Manages persistent SSH sessions for Claude Code, offering browser-based terminal monitoring and dynamic session creation without pre-configuration.
Provides a robust backend for AI agents, delivering custom instruction files and executable scripts.
Integrates AI assistants with GitLab, providing intelligent context awareness, URL deduction, and over 143 specialized tools for various operations.
Enables AI agents to manage Cloudflare DNS records for your domains.
Provides safe, intelligent read/write access to NetBox instances via a Model Context Protocol server.
Executes user-requested file and directory operations within a specialized agent environment.
Provides health checking and problem analysis tools for EMQX using MCP wrappers.
Enables any MCP protocol client to seamlessly integrate with Amap Maps for a wide range of location-based services.
Combines vector search, knowledge graphs, and web intelligence to enhance AI coordination and optimize performance.
Manage and deploy Scaleway Serverless Functions via the Model Context Protocol.
Integrate an AI assistant with GitLab, enabling natural language queries for project data, merge requests, reviews, and pipeline information.
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