Discover and integrate MCP servers tagged with cloud
24 cloud MCP Servers Available
Host an Model Context Protocol SSE deployment on Cloud Run, Authenticating with IAM.
AlibabaCloud CloudOps MCP Server
🗂️ A Model Context Protocol (MCP) server that provides integration with Turso databases for LLMs. This server implements a two-level authentication system to handle both organization-level and database-level operations, making it easy to manage and query Turso databases directly from LLMs.
MCP Server for Google Cloud Healthcare API
A Model Context Protocol (MCP) server for interacting with the Hetzner Cloud API. This server allows language models to manage Hetzner Cloud resources through structured functions.
Talk to your cloud data using CloudZero API and Model Context Protocol (MCP) server for LLM tool calling
This is a quickstart template to easily build and deploy a custom remote MCP server to the cloud using Azure functions. You can clone/restore/run on your local machine with debugging, and azd up to have it in the cloud in a couple minutes. The MCP server is secured by design.
This project demonstrates how to use Cloudflare Browser Rendering to extract web content for LLM context. It includes experiments with the REST API and Workers Binding API, as well as an MCP server implementation that can be used to provide web context to LLMs.
This MCP server provides tools for interacting with Cloudflare Browser Rendering, allowing you to fetch and process web content for use as context in LLMs directly from Cline or Claude Desktop.
A Model Context Protocol (MCP) server that provides tools for AI, allowing it to interact with the DataWorks Open API through a standardized interface. This implementation is based on the Aliyun Open API and enables AI agents to perform cloud resources operations seamlessly.
An MCP server implementation for retrieving information from the AWS Knowledge Base using the Bedrock Agent Runtime.
Use 3,000+ pre-built cloud tools to extract data from websites, e-commerce, social media, search engines, maps, and more
The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you're building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need.</br>This server provides cloud browser automation capabilities using Browserbase, Puppeteer, and Stagehand (Coming Soon). This server enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a cloud browser environment.Automate browser interactions in the cloud (e.g. web navigation, data extraction, form filling, and more)
Deploy, configure & interrogate your resources on the Cloudflare developer platform (e.g. Workers/KV/R2/D1)
Query and interact with kubernetes environments monitored by Metoro
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
