Cloud Infrastructure MCP 서버

cloud infrastructure를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 885개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.

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Coolify

Manages Coolify deployments through AI-powered Model Context Protocol (MCP) tools and command-line interfaces.

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Computer Use

Enables control of virtual computer environments through the Model Context Protocol (MCP).

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CloudZero

Enables querying and analysis of CloudZero cloud cost data within Large Language Models via the Model Context Protocol (MCP).

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Minio

Enables interaction with MinIO object storage through a Model-Context Protocol server and client.

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Pinata

Enables Claude to interact with public and private IPFS through the Pinata API for file and group management.

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Tigris

Connect AI agents to Tigris object storage for seamless bucket and object management.

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Modal

Enables management of Modal applications, volumes, and deployments directly from within Cursor.

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Docker

Streamlines Docker operations with a unified interface and extensive CLI aliases.

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AWS Instances

Retrieves and lists running AWS EC2 instances for a specified region via the Model Context Protocol.

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IAMY

Transforms natural language user intents into validated server actions using Large Language Models.

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Snowflake

Enables AI models to execute SQL queries on Snowflake databases through the Model Context Protocol.

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Image Generation Cloudflare

Facilitates image generation using Cloudflare.

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Kubernetes

Enables AI tools to interact with Kubernetes clusters using natural language, facilitating advanced automation and interaction.

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Gitops Lab

Provides a GitOps playground for experimenting with Kubernetes, Terraform, Argo CD, and related technologies.

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Google Earth Engine

Enables natural language querying of Google Earth Engine datasets, task execution, and visualization within chat interfaces.

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Google Cloud

Implements an MCP server for Google Cloud resources using Go.

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Mold Inventory

Manages mold inventory through a full-stack application leveraging Cloudflare Workers, Auth0, and modern web technologies.

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BigQuery

Enables Large Language Models (LLMs) to understand BigQuery dataset structures and execute SQL queries.

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File System API

Enables interaction with a file system via HTTP requests, supporting file operations and content summarization using the Google Gemini API.

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Pulumi

Enables interaction with the Pulumi infrastructure-as-code platform via an MCP (Model Context Protocol) server.

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