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。3112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。
Categorizes Kubernetes-related tools for MCP Server.
Deploys a remote Model Context Protocol (MCP) server on Cloudflare Workers without requiring authentication.
Exposes a REST API for managing and interacting with Model Context Protocol (MCP) resources.
Serves automatically generated JavaScript tools from Postman API requests as an MCP-compatible server.
Generates a Model Context Protocol (MCP) server from a specified OpenAPI URL, facilitating standardized API interactions.
Provides a container image for the torero automation platform, designed for easy deployment and experimentation.
Streamline the management of PowerShell scripts and applications with a comprehensive process management platform.
Provides a comprehensive, modular template for building Model Context Protocol (MCP) servers using FastMCP.
Provides multimodal AI image, text, audio, and vision generation capabilities through standard REST endpoints.
Connects JumpCloud environments with AI assistants and code editors via a natural language API server and agent.
Provides a production-ready FastMCP reference server, including hackathon resources and reusable starter prompts.
Provides AI agents with secure, controlled access to network security tools by transforming command-line utilities into safe, monitored, API-accessible services.
Provides intelligent weather services through an orchestrated multi-server agentic architecture with local LLM integration.
Provides a foundational Model Context Protocol server, showcasing the implementation of custom tools, resources, and prompts.
Enables the deployment of a Model Context Protocol (MCP) server designed to deliver category-specific jokes and integrates it with Microsoft Copilot Studio.
Facilitates communication with a service dependency API instance for Service Atlas.
Leverages information geometry and statistical manifolds for high-precision, context-aware information retrieval within Retrieval-Augmented Generation (RAG) systems.
Transforms structured skill definitions into executable components for agent systems.
Enables AI agents to execute code directly within isolated Docker environments, simplifying complex interactions and API calls.
Manages domains, DNS, contacts, and transfers for Dynadot using its API through an AI assistant.
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