Discover and integrate MCP servers tagged with cloud
5 cloud MCP Servers Available
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.
