deployment & devops向けの厳選されたMCPサーバーコレクションをご覧ください。2577個のサーバーを閲覧し、ニーズに最適なMCPを見つけましょう。
Enables Codename Goose AI agent to interact with a Minikube cluster via a Model Context Protocol (MCP) server.
Provides index, cluster, and document management tools for OpenSearch.
Automates vulnerability scanning workflows by generating nuclei POCs and submitting tasks to a Marshal platform.
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 Model Context Protocol (MCP) server for deep integration with GitLab functionalities.
Establishes a remote Model Context Protocol (MCP) server on Cloudflare Workers, integrating OAuth for secure access.
Provides a Model Context Protocol (MCP) server for comprehensive management of Tailscale resources.
Converts stdio input into streamable-http requests, facilitating communication between stdio-based processes and HTTP-compatible services.
Orchestrates and manages security scans through a Model Context Protocol (MCP) interface.
Provides Model Context Protocol servers for AI-driven management of various infrastructure components like firewalls, storage, and virtualization platforms.
Facilitates interaction with a Control Plane by providing tools to retrieve Kubernetes pod logs and events.
Manage and deploy Scaleway Serverless Functions via the Model Context Protocol.
Intelligently manages Model Context Protocol servers for Claude, dynamically loading tools on-demand to significantly reduce token usage and optimize context windows.
Facilitates AI model interaction with the Terraform IBM Modules ecosystem, enabling intelligent discovery and utilization of IBM Cloud infrastructure resources.
Automate comprehensive penetration testing with an AI-powered framework leveraging LM Studio for autonomous decision-making.
Aggregates multiple Model Context Protocol servers into a single, secure, and authenticated endpoint for AI clients.
Generates and serves a web documentation site directly from your project's Markdown files, enabling quick setup and AI tool integration.
Integrates Jenkins CI/CD functionality with Model Context Protocol (MCP) tools, enabling programmatic access for automated workflows and AI assistants.
Provides unified access and management for multiple container runtimes through a single Model Context Protocol interface.
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