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AWS EC2定价MCP

全面解析AWS EC2 PricingMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，AWS EC2 Pricing能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

Enables interaction with AWS Fault Injection Service to create, manage, and execute chaos engineering experiments. Operates in read-only mode by default for security, with optional write operations for starting/stopping experiments and managing templates.

全面解析MCP Custom ServersMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，MCP Custom Servers能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

A fully managed remote MCP server that provides up-to-date documentation, code samples, knowledge about the regional availability of AWS APIs and CloudFormation resources, and other official AWS cont…

Awslabs MCP (2b3c5f)

全面解析Awslabs Cost Analysis MCP ServerMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Awslabs Cost Analysis MCP Server能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

Browse and manage AWS Marketplace subscriptions and product listings. Discover SaaS, data, and infrastructure products available on AWS.

Enables read-only assessment of AWS environments by inventorying resources, running security and operational checks, and generating actionable reports with cost analysis. Designed for contractors with support for assume-role authentication using external IDs.

全面解析Aws MCP Cloud DevMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Aws MCP Cloud Dev能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

Aws MCP Infra Helper

This creates an MCP server enabling Claude to run security scans on Terraform code, create architecture diagrams of your AWS cloud architectures and execute terraform commands to deploy or modify resources

Provides a chat interface with natural language processing to deploy and manage AWS resources through an integrated Model Context Protocol (MCP) server.

Enables AI assistants to execute AWS CLI commands and retrieve service documentation through the Model Context Protocol. It supports Unix pipes for output filtering and provides pre-defined prompt templates for common cloud management tasks.

Enables AI assistants to execute AWS CLI commands and access AWS documentation, resources, and prompt templates through the Model Context Protocol with support for Unix pipes and secure Docker-based deployment.

A read-only Model Context Protocol server that exposes over 60 AWS tools across services like EC2, S3, and IAM for AI agent interaction. It features multi-region support, resource caching, and audit logging to provide secure, AI-ready access to AWS infrastructure data.

Enables Claude to interact with core AWS services like S3, EC2, RDS, and CloudWatch, along with a generic SDK wrapper for any AWS operation. It also supports cost monitoring and optional vector store capabilities for document ingestion and search.

Enables Claude Desktop to interact with 57 AWS services using over 200 tools and local machine profiles. It supports multi-profile configurations and features a read-only safe mode by default to manage infrastructure like EC2, S3, and Lambda securely.

A Model Context Protocol server allowing Claude AI to interact with AWS resources through natural language, enabling users to query and manage AWS services without using the traditional AWS Console or CLI.

Provides read-only access to AWS resources including S3 buckets, EC2 instances, IAM users, and caller identity verification through the Model Context Protocol.

Aws Monthly Cost Report MCP Server

全面解析Aws Monthly Cost Report MCP ServerMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Aws Monthly Cost Report MCP Server能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

Provides a comprehensive suite of 76 tools for AWS cloud resource optimization, cost management, and infrastructure monitoring. It enables users to identify unused resources, analyze cost trends, right-size capacity, and maintain security compliance through natural language.

Enables interaction with AWS S3 storage through bucket operations (create, delete, list), object management (upload, download, delete, list), and bucket policy configuration using AWS credentials.