Discover our curated collection of MCP servers for cloud infrastructure. Browse 1246servers and find the perfect MCPs for your needs.
Converts Claude API requests into OpenAI API format using a Cloudflare Workers proxy, enabling seamless integration with OpenAI-compatible clients.
Enables SQL queries and database exploration in AWS Athena through a standardized Model Context Protocol (MCP) interface.
Integrates CyberArk Privilege Cloud with AI assistants and MCP clients, providing secure access to privileged account management, safe operations, and platform configurations via eight comprehensive tools.
Provides a Model Context Protocol (MCP) server and REST API for interacting with Harbor container registry.
Snipes Solana SPLP tokens on the Raydium DEX with multi-region support and Claude AI integration.
Serves both a REST API and a Model Context Protocol interface from a single Cloudflare Worker.
Uploads files to Alibaba Cloud OSS, supporting multiple configurations and directory specification.
Provides tools to manage Netlify sites, deployments, DNS, serverless functions, forms, plugins, environment variables, and webhooks through the Netlify CLI.
Enables Claude to interact with Okta organizations, managing users, groups, and applications through the Okta API.
Enables AI assistants to estimate Google Cloud costs by interacting with the Cloud Billing Catalog API.
Normalizes GraphQL, JSON-RPC 2.0, and Cap'n Proto requests into Model Context Protocol (MCP) format via a multi-protocol edge proxy.
Provides AI agents with access to the Upbound Marketplace API for searching, discovering, and managing packages and repositories, especially for Crossplane compositions.
Enables querying and managing data within Azure Table Storage directly through Cline.
Facilitates the integration of Model Context Protocol (MCP) server tools within Cloudflare Workers.
Analyzes websites and answers questions about their content using Cloudflare's browser rendering and AI.
Manages Netskope Network Private Access (NPA) infrastructure using Large Language Models (LLMs) via a Model Context Protocol (MCP) server.
Provides persistent memory storage for Infrastructure-as-Code (IaC) components, focusing on version tracking and relationship mapping.
Enables interaction with Azure Data Lake Storage Gen2 through the Model Context Protocol.
Enables control of virtual computer environments through the Model Context Protocol (MCP).
Augments AI model responses with real-time search results via the Higress ai-search plugin.
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