Discover and integrate MCP servers tagged with aws
8 aws MCP Servers Available
A mockup full stack app built with React, FastAPI, MongoDB, and Docker, powered by AWS Rekognition & CLIP for multi-tagging and clothing recommendations
AWS MCP Servers — specialized MCP servers that bring AWS best practices directly to your development workflow
OmniMCP uses Microsoft OmniParser and Model Context Protocol (MCP) to provide AI models with rich UI context and powerful interaction capabilities.
OpenWorkspace-o1 S3 Model Context Protocol Server.
MCP server to interact with Redis Server, AWS Memory DB, etc for caching or other use-cases where in-memory and key-value based storage is appropriate
An MCP server implementation for retrieving information from the AWS Knowledge Base using the Bedrock Agent Runtime.
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.
