发现我们为 cloud infrastructure 精心策划的 MCP 服务器集合。浏览 1614 个服务器,找到满足您需求的完美 MCP。
Enables uploading images and videos to Cloudinary directly from Claude Desktop and compatible MCP clients.
Extracts web content using Cloudflare Browser Rendering for use in LLM context.
Enables fetching and processing of web content via Cloudflare Browser Rendering for use as context in LLMs.
Enables Cursor and Windsurf to manage Supabase databases and execute SQL queries safely.
Enables agentic tools to manage ArgoCD applications and resources through natural language interactions.
Provides an LLM interface for interacting with a Cloud Foundry foundation.
Manages aaPanel server instances by providing remote access to system information, website configurations, databases, Docker containers, and email accounts.
Enables natural language querying of Google Earth Engine datasets, task execution, and visualization within chat interfaces.
Interacts with Helm charts on Artifacthub through a Model Context Protocol (MCP) server.
Enables natural language control over cloud infrastructure through an AI-powered interface to the Dokploy platform.
Enables AI assistants to interact with and manage Sakura Cloud infrastructure via the Model Context Protocol (MCP).
Provides read-only access to your Tailscale network through the Model Context Protocol.
Enables AI agents to interact and manage Cisco Application Centric Infrastructure (ACI) environments.
Enables large language model assistants to interact with the Gcore Cloud API.
Integrates with New Relic's observability platform to query metrics, manage alerts, and monitor applications through a unified interface.
Provides programmatic access and advanced management capabilities for Kubernetes clusters through the Model Context Protocol.
Automates the generation and validation of Azure architecture designs and diagrams using AI agents and the Model Context Protocol.
Enables AI agents to interact with Google BigQuery databases via natural language queries and schema exploration.
Provides temporary, service-scoped AWS credentials to AI agents, enhancing security and limiting access.
Validates AI-generated infrastructure code on real virtual machines, self-correcting until successful.
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