git:20260710.2925510 to git:20260710.62afd0f
22 added, 11 removed. Audit B to A.
---
- title: "AWS MCP Servers for Cloud Service Integration"
+ name: "AWS MCP Servers for Cloud Service Integration"
+ slug: "aws-mcp-servers-cloud-service-integration"
description: "The official AWS Labs MCP server collection provides AI agents with structured access to AWS documentation, service APIs, billing data, and infrastructure metadata through the Model Context Protocol, built and maintained by AWS for secure cloud automation workflows."
+ github_stars: 8645
verification: "security_reviewed"
source: "https://github.com/awslabs/mcp"
- category:
- - "Integrations & Connectors"
- framework:
- - "MCP"
+ category: "Integrations & Connectors"
+ framework: "MCP"
tool_ecosystem:
github_repo: "awslabs/mcp"
github_stars: 8645
---
# AWS MCP Servers for Cloud Service Integration
The official AWS Labs MCP server collection provides AI agents with structured access to AWS documentation, service APIs, billing data, and infrastructure metadata through the Model Context Protocol, built and maintained by AWS for secure cloud automation workflows.
## Installation
- Choose whichever fits your setup:
+ Use the upstream install or setup path that matches your environment:
+ - Install uv from [Astral](https://docs.astral.sh/uv/getting-started/installation/)
+ - Docker images for each MCP server are published to the [public AWS ECR registry](https://gallery.ecr.aws/awslabs-mcp).
+ - docker build -t awslabs/aws-documentation-mcp-server .
+ - Follow the steps above in the **Installation and Setup** section to install uv from [Astral](https://docs.astral.sh/uv/getting-started/installation/), install Python, and configure AWS credentials with the required se...
- 1. Copy this skill folder into your local skills directory.
- 2. Clone the repo and symlink or copy the skill into your agent workspace.
- 3. Add the repo as a git submodule if you manage shared skills centrally.
- 4. Install it through your internal provisioning or packaging workflow.
- 5. Download the folder directly from GitHub and place it in your skills collection.
+ Requirements and caveats from upstream:
+ - A Python library for creating serverless HTTP handlers for the Model Context Protocol (MCP) using AWS Lambda. This module provides a flexible framework for building MCP HTTP endpoints with pluggable session management...
+ - Install Python using uv python install 3.10
+ - *This example uses docker with the "awslabs.aws-documentation-mcp-server and can be repeated for each MCP server*
+
+ Basic usage or getting-started notes:
+ - [🚀 Getting Started with AWS](#-getting-started-with-aws)
+ - [Getting Started with Kiro](#getting-started-with-kiro)
+ - [Getting Started with Cline and Amazon Bedrock](#getting-started-with-cline-and-amazon-bedrock)
+
+ - Source: https://github.com/awslabs/mcp
+ - Extracted from upstream docs: https://raw.githubusercontent.com/awslabs/mcp/HEAD/README.md
## Source
- [Agent Skill Exchange](https://agentskillexchange.com/skills/aws-mcp-servers-cloud-service-integration/)