登录

mcp

awslabsApache-2.0活跃维护

AWS 官方开源的一批 MCP 服务器，让 Claude 等支持 Model Context Protocol 的 AI 客户端直接调用 AWS 服务，省去自己写对接层。

Open source MCP Servers for AWS

2026.10.20261030201955发布于 2026-10-30 21:18 UTC9,902star +12 / 7 天1,868fork同步于 2026-11-10 17:30 UTC
MCP 服务器AWS 服务模型上下文协议AI 客户端集成
对比 GitHub 官网awsmcpmcp-clientmcp-clientsmcp-host

怎么上手

由 README 提炼，执行前请确认
原文 
uv python install 3.10
uvx awslabs.core-mcp-server@latest
硬件要求按 README 说明

README 未说明显存或 GPU 要求；服务器以 Python 程序形式在本地或容器中运行，需安装 uv 与 Python 3.10，并配置可访问所需 AWS 服务的凭证。

下载：源码 zip·GitHub Releases（安装包）本站不镜像安装包

项目说明

由 README 自动翻译提炼
没人工点评？写下你的经验

AWS 官方开源的一整套 MCP 服务器，让 AI 助手直接查文档、管资源和跑运维

AWS 官方开源的一批 MCP 服务器，让 Claude 等支持 Model Context Protocol 的 AI 客户端直接调用 AWS 服务，省去自己写对接层。

核心能力

  • 按场景拆分多个专用 MCP 服务器，覆盖文档、基础设施、数据、成本等
  • 通过标准 MCP 协议接入 Kiro、Cline、Cursor、Windsurf、Claude 等客户端
  • 提供 uvx 一键运行与各客户端配置示例
  • 每个服务器发布公共 AWS ECR 镜像，可用 Docker 运行
  • 支持本地与远程两种 MCP 服务器部署方式

容易踩的坑

使用 @latest 后缀会在每次启动时检查并下载最新包，首次加载变慢，可去掉后缀并自行管理 uv 缓存；Windows 需改用 uv tool run --from 的配置格式；Docker 运行时容器内无法使用 env 字段，需用 --env、--env-file、--volume 传入凭证；各服务器有独立的必填参数（如 resource_arn、secret_arn、region 等），需查阅对应 README。

内容由模型根据 README 生成，可能不完整或不准确，以官方文档为准。看原文 README

最近发版

5 个版本2026.10.20261030201955
全部 release
  1. 2026.10.20261030201955最新正式版2026-10-30 · 2026-10-30 21:18 UTC

    2026.10.20261030201955

    What's Changed

  2. 2026.10.202610271045122026-10-27 · 2026-10-27 11:23 UTC
    查看更新说明

    2026.10.20261027104512

    What's Changed

  3. 2026.10.202610151702112026-10-16 · 2026-10-16 06:22 UTC
    查看更新说明

    2026.10.20261015170211

    What's Changed

    New Contributors

    Full Changelog: https://github.com/awslabs/mcp/compare/2026.10.20261012173232...2026.10.20261015170211

  4. 2026.10.202610121732322026-10-13 · 2026-10-13 11:05 UTC
    查看更新说明

    2026.10.20261012173232

    What's Changed

    New Contributors

  5. 2026.10.202610021808092026-10-12 · 2026-10-12 17:18 UTC
    查看更新说明

    2026.10.20261002180809

    What's Changed

    New Contributors

    Full Changelog: https://github.com/awslabs/mcp/compare/2026.09.20260930084625...2026.10.20261002180809

用户点评

登录用户的真实使用记录，可按版本和硬件筛选
共 0 条

    还没有人点评。第一个说出真实体验的人最有价值。

    README 原文

    未翻译
    在 GitHub 打开

    Open source MCP servers for AWS

    A suite of specialized MCP servers that help you get the most out of AWS, wherever you use MCP.

    GitHub License Codecov OSSF-Scorecard Score

    [!TIP] The Agent Toolkit for AWS is now live! The Agent Toolkit for AWS is the successor to the MCP servers, plugins, and skills available on AWS Labs, and was informed by feedback from customers like you. If you're building production software using coding agents or building agents for your own customers, we recommend Agent Toolkit for AWS. It includes IAM condition keys to distinguish agent actions from human ones, CloudWatch and CloudTrail visibility, and skills that have been evaluated for accuracy and effectiveness. This repo continues to work and accept contributions. Over time, the most useful projects here will move into Agent Toolkit for AWS.

    Table of Contents

    What is the Model Context Protocol (MCP) and how does it work with MCP Servers for AWS?

    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.

    — Model Context Protocol README

    An MCP Server is a lightweight program that exposes specific capabilities through the standardized Model Context Protocol. Host applications (such as chatbots, IDEs, and other AI tools) have MCP clients that maintain 1:1 connections with MCP servers. Common MCP clients include agentic AI coding assistants (like Kiro, Cline, Cursor, Windsurf) as well as chatbot applications like Claude Desktop, with more clients coming soon. MCP servers can access local data sources and remote services to provide additional context that improves the generated outputs from the models.

    MCP Servers for AWS use this protocol to provide AI applications access to AWS documentation, contextual guidance, and best practices. Through the standardized MCP client-server architecture, AWS capabilities become an intelligent extension of your development environment or AI application.

    MCP Servers for AWS enable enhanced cloud-native development, infrastructure management, and development workflows—making AI-assisted cloud computing more accessible and efficient.

    The Model Context Protocol is an open source project run by Anthropic, PBC. and open to contributions from the entire community. For more information on MCP, you can find further documentation here

    Open source MCP servers for AWS Transport Mechanisms

    Supported transport mechanisms

    The MCP protocol currently defines two standard transport mechanisms for client-server communication:

    • stdio, communication over standard in and standard out
    • streamable HTTP

    The MCP servers in this repository are designed to support stdio only.

    You are responsible for ensuring that your use of these servers comply with the terms governing them, and any laws, rules, regulations, policies, or standards that apply to you.

    Server Sent Events Support Removal

    Important Notice: On May 26th, 2025, Server Sent Events (SSE) support was removed from all MCP servers in their latest major versions. This change aligns with the Model Context Protocol specification's backwards compatibility guidelines.

    We are actively working towards supporting Streamable HTTP, which will provide improved transport capabilities for future versions.

    For applications still requiring SSE support, please use the previous major version of the respective MCP server until you can migrate to alternative transport methods.

    Why MCP Servers for AWS?

    MCP servers enhance the capabilities of foundation models (FMs) in several key ways:

    • Improved Output Quality: By providing relevant information directly in the model's context, MCP servers significantly improve model responses for specialized domains like AWS services. This approach reduces hallucinations, provides more accurate technical details, enables more precise code generation, and ensures recommendations align with current AWS best practices and service capabilities.

    • Access to Latest Documentation: FMs may not have knowledge of recent releases, APIs, or SDKs. MCP servers bridge this gap by pulling in up-to-date documentation, ensuring your AI assistant always works with the latest AWS capabilities.

    • Workflow Automation: MCP servers convert common workflows into tools that foundation models can use directly. Whether it's CDK, Terraform, or other AWS-specific workflows, these tools enable AI assistants to perform complex tasks with greater accuracy and efficiency.

    • Specialized Domain Knowledge: MCP servers provide deep, contextual knowledge about AWS services that might not be fully represented in foundation models' training data, enabling more accurate and helpful responses for cloud development tasks.

    Available MCP Servers: Quick Installation

    Get started quickly with one-click installation buttons for popular MCP clients. Click the buttons below to install servers directly in Cursor or VS Code:

    🚀 Getting Started with AWS

    For AWS interactions, we recommend starting with:

    Server NameDescriptionInstall
    AWS MCP Server (in preview)Start here for secure, auditable AWS interactions! This remote, managed MCP server is hosted by AWS and combines comprehensive AWS API support with access to the latest AWS documentation, API references, What's New posts, and Getting Started information. Features pre-built Agent SOPs that follow AWS best practices, helping agents complete complex multi-step AWS tasks reliably. Built with safety and control in mind: syntactically validated API calls, IAM-based permissions with zero credential exposure, and complete CloudTrail audit logging. Access all AWS services for managing infrastructure, exploring resources, and executing AWS operations with full transparency and traceability. Read moreInstall Install Install on VS Code

    Browse by What You're Building

    📚 Real-time access to official AWS documentation
    Server NameDescriptionInstall
    AWS Knowledge MCP ServerA remote, fully-managed MCP server hosted by AWS that provides access to the latest AWS docs, API references, What's New Posts, Getting Started information, Builder Center, Blog posts, Architectural references, and Well-Architected guidance.Install Install Install on VS Code
    AWS Documentation MCP ServerGet latest AWS docs and API referencesInstall Install Install on VS Code

    🏗️ Infrastructure & Deployment

    Build, deploy, and manage cloud infrastructure with Infrastructure as Code best practices.

    Server NameDescriptionInstall
    AWS IaC MCP ServerComplete Infrastructure as Code toolkit with CloudFormation documentation access, CDK best practices guidance, construct examples, security validation, and deployment troubleshootingInstall Install Install on VS Code
    AWS Cloud Control API MCP Server ⚠️ DEPRECATEDDirect AWS resource management with security scanning and best practices (Use AWS IaC MCP Server instead)Install Install Install on VS Code
    Container Platforms
    Server NameDescriptionInstall
    Amazon EKS MCP ServerKubernetes cluster management and application deploymentInstall Install Install on VS Code
    Amazon ECS MCP ServerContainer orchestration and ECS application deploymentInstall Install Install on VS Code
    Finch MCP ServerLocal container building with ECR integrationInstall Install Install on VS Code
    Serverless & Functions
    Server NameDescriptionInstall
    AWS Serverless MCP ServerComplete serverless application lifecycle with SAM CLIInstall Install Install on VS Code
    AWS Lambda Tool MCP ServerExecute Lambda functions as AI tools for private resource accessInstall Install Install on VS Code
    Migration & Modernization
    Server NameDescriptionInstall
    AWS Transform MCP ServerManage AWS Transform workspaces, jobs, connectors, HITL tasks, and artifacts for mainframe, VMware, .NET, and custom code transformationsInstall Install Install on VS Code
    Support
    Server NameDescriptionInstall
    AWS Support MCP ServerHelp users create and manage AWS Support casesInstall Install Install on VS Code

    🤖 AI & Machine Learning

    Enhance AI applications with knowledge retrieval, content generation, and ML capabilities

    Server NameDescriptionInstall
    Amazon Bedrock Knowledge Bases Retrieval MCP Server Query enterprise knowledge bases with citation supportInstall Install Install on VS Code
    Amazon Kendra Index MCP Server ⚠️ DEPRECATEDEnterprise search and RAG enhancement (Use the AWS MCP Server instead)Install Install Install on VS Code
    Amazon Q Business MCP Server ⚠️ DEPRECATEDAI assistant for your ingested content with anonymous access (Use the AWS MCP Server instead)Install Install Install on VS Code
    Amazon Q Index MCP ServerData accessors to search through enterprise's Q indexInstall Install Install on VS Code
    AWS Bedrock Custom Model Import MCP ServerManage custom models in Bedrock for on-demand inferenceInstall Install Install on VS Code
    AWS Bedrock AgentCore MCP ServerProvides comprehensive documentation access on AgentCore platform services, APIs, and best practicesInstall Install Install on VS Code
    Amazon Translate MCP ServerNeural machine translation across 75+ languages with batch processing and custom terminologyInstall Install Install on VS Code
    Amazon SageMaker AI MCP ServerSageMaker AI resource management and model developmentInstall Install Install on VS Code
    Registry of Open Data (RODA) MCP ServerDiscover, explore, and preview open datasets on AWSInstall Install Install on VS Code

    📊 Data & Analytics

    Work with databases, caching systems, and data processing workflows.

    SQL & NoSQL Databases
    Server NameDescriptionInstall
    Amazon DynamoDB MCP ServerDynamoDB expert design guidance and data modeling assistanceInstall Install Install on VS Code
    Amazon Aurora PostgreSQL MCP ServerPostgreSQL database operations via RDS Data APIInstall Install Install on VS Code
    Amazon Aurora MySQL MCP ServerMySQL database operations via RDS Data APIInstall Install Install on VS Code
    Amazon Aurora DSQL MCP ServerDistributed SQL with PostgreSQL compatibilityInstall Install Install on VS Code
    Amazon DocumentDB MCP ServerMongoDB-compatible document database operationsInstall Install Install on VS Code
    Amazon Neptune MCP ServerGraph database queries with openCypher and GremlinInstall Install Install on VS Code
    Amazon Keyspaces MCP ServerApache Cassandra-compatible operationsInstall Install Install on VS Code
    Amazon Timestream for InfluxDB MCP ServerTime-series database operations and InfluxDB compatibilityInstall Install Install on VS Code
    AWS S3 Tables MCP ServerManage S3 Tables for optimized analyticsInstall Install [Install on VS Code](https://insiders.vscode.dev/redirect

    相关项目

    同分类里 star 最高的项目
    对比全部 →
    n8n
    n8n-io·TypeScript

    可视化搭建工作流并支持自定义代码的自动化平台，内置 AI 能力，提供 400+ 集成，可自托管或上云，用来把各类 API 和数据流串起来。

    工作流自动化+4MCP 生态
    210003+27161kstable2026-11-10 17:15 UTC
    Scrapling
    D4Vinci·Python

    Python 网页抓取框架，从单次请求到大规模爬取都能处理，内置 Playwright 支持，还提供 MCP 服务方便接入 AI 工作流。

    网页抓取+4MCP 生态
    100997+202111kv0.5.12026-11-09 10:36 UTC
    awesome-mcp-servers
    punkpeye

    一份精选的 MCP 服务器清单，帮你在接入 Model Context Protocol 生态时快速找到可用的服务端实现。

    MCP 服务器+3MCP 生态
    97567+16420k2026-11-06 17:59 UTC
    servers
    modelcontextprotocol·TypeScript

    Model Context Protocol 官方参考服务器集合，提供文件系统、Git、数据库等现成 MCP 服务实现，让 AI Agent 快速接入外部工具和数据源。

    MCP 服务器+4MCP 生态
    91911+6812kv2.3.02026-11-10 05:11 UTC