AWS를 위해 구축된 108개의 MCP를 찾아보세요.
Manages and streams AI data with a specialized database for vectors, images, texts, and videos, supporting LLM applications and deep learning model training.
Bring AWS best practices directly into development workflows with a suite of specialized Model Context Protocol (MCP) servers.
Monitors PostgreSQL databases, finds root causes of issues, and suggests fixes and improvements.
Identifies cloud risks, tests security vulnerabilities, and enhances cloud protection for public cloud tenants.
Enables the use of the AWS Cloud Development Kit (CDK) CLI to deploy applications against local APIs provided by LocalStack.
Streamlines the deployment of Terraform applications to LocalStack for local AWS cloud development and testing.
Simplifies the creation of serverless Model Context Protocol (MCP) tools using AWS Lambda and Streamable HTTP.
Manage AWS infrastructure using natural language commands through an intelligent AI-powered system.
Enables AI assistants to execute AWS CLI commands in a secure, containerized environment using the Model Context Protocol (MCP).
Connect AWS FinOps capabilities to an AI assistant for cloud cost analysis, waste auditing, and budget insights using natural language.
Explore AWS EC2 Spot instance types, savings, prices, and interruption frequencies for optimal cloud resource selection.
Provides AI assistants access to AWS CloudWatch Logs for analysis, searching, and correlation.
Provides LLMs with the latest stable package versions for multiple package registries when coding.
Enables Large Language Models to execute AWS Lambda functions as tools via Anthropic's Model Control Protocol (MCP) without code modifications.
Provides example implementations for building agentic AI solutions with AWS, utilizing the Model Context Protocol.
Connects AI assistants to AWS security services for autonomous querying, inspection, and analysis of AWS infrastructure.
Enables retrieval of PDF documents and metadata from AWS S3 buckets for use in Large Language Model contexts.
Provides examples for integrating the Model Context Protocol with AWS services.
Demonstrates implementation and usage of Anthropic's Model Context Protocol (MCP) with AWS Bedrock.
Provides practical examples and theoretical concepts for developing LLM-powered agents and multi-agent systems using tools like Google ADK.
Scroll for more results...