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Agents48k · #2248

aws-mcp-setup

Lets your agent set up tools for searching AWS documentation. It helps connect and use documentation systems and APIs.

What it does

This tool helps set up AWS servers so the AI can search documentation and use AWS commands. It allows the AI to interact with AWS services securely.

When to use it

  • ✓When setting up a new AWS environment.
  • ✓When you need the AI to look up AWS documentation.
  • ✓If the AI has trouble connecting to AWS services.

Example of what to ask your AI

“Set up the AWS MCP server so I can search documentation and run AWS commands.”

Want more? Open the sections below.

How to use

The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.

Skill link

https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/aws-mcp-setup/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/aws-mcp-setup/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
How it works

The tool checks if you already have the necessary configurations. If not, it offers two options: a full one that allows searching and running commands, and a simpler one that only allows searching documentation.

Installation

Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.

In the terminal (Claude Code, Codex, Cursor), in your project folder:

npx skills add sickn33/agentic-awesome-skills --skill aws-mcp-setup

Or download just the file:

curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/aws-mcp-setup/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from GitHub.

AWS MCP Server Configuration Guide

When to Use

Use this skill when you need configure AWS MCP servers for documentation search and API access. Use when setting up AWS MCP, configuring AWS documentation tools, troubleshooting MCP connectivity, or when user mentions aws-mcp, awsdocs, uvx setup, or MCP server configuration. Covers both Full AWS MCP Server (with...

Overview

This guide helps you configure AWS MCP tools for AI agents. Two options are available:

Option Requirements Capabilities
Full AWS MCP Server Python 3.10+, uvx, AWS credentials Execute AWS API calls + documentation search
AWS Documentation MCP None Documentation search only

Step 1: Check Existing Configuration

Before configuring, check if AWS MCP tools are already available using either method:

Method A: Check Available Tools (Recommended)

Look for these tool name patterns in your agent's available tools:

  • mcp__aws-mcp__* or mcp__aws__* → Full AWS MCP Server configured
  • mcp__*awsdocs*__aws___* → AWS Documentation MCP configured

How to check: Run /mcp command to list all active MCP servers.

Method B: Check Configuration Files

Agent tools use hierarchical configuration (precedence: local → project → user → enterprise):

Scope File Location Use Case
Local .claude.json (in project) Personal/experimental
Project .mcp.json (project root) Team-shared
User ~/.claude.json Cross-project personal
Enterprise System managed directories Organization-wide

Check these files for mcpServers containing aws-mcp, aws, or awsdocs keys:

# Check project config
cat .mcp.json 2>/dev/null | grep -E '"(aws-mcp|aws|awsdocs)"'

# Check user config
cat ~/.claude.json 2>/dev/null | grep -E '"(aws-mcp|aws|awsdocs)"'

# Or use Claude CLI
claude mcp list

If AWS MCP is already configured, no further setup needed.

Step 2: Choose Configuration Method

Automatic Detection

Run these commands to determine which option to use:

# Check for uvx (requires Python 3.10+)
which uvx || echo "uvx not available"

# Check for valid AWS credentials
aws sts get-caller-identity || echo "AWS credentials not configured"

Option A: Full AWS MCP Server (Recommended)

Use when: uvx available AND AWS credentials valid

Prerequisites:

  • Python 3.10+ with uv package manager
  • AWS credentials configured (via profile, environment variables, or IAM role)

Required IAM Permissions:

{
  "Version": "2012-10-17",
  "Statement": [{
    "Effect": "Allow",
    "Action": [
      "aws-mcp:InvokeMCP",
      "aws-mcp:CallReadOnlyTool",
      "aws-mcp:CallReadWriteTool"
    ],
    "Resource": "*"
  }]
}

Configuration (add to your MCP settings):

{
  "mcpServers": {
    "aws-mcp": {
      "command": "uvx",
      "args": [
        "mcp-proxy-for-aws@latest",
        "https://aws-mcp.us-east-1.api.aws/mcp",
        "--metadata", "AWS_REGION=us-west-2"
      ]
    }
  }
}

Credential Configuration Options:

  1. AWS Profile (recommended for development):

    "args": [
      "mcp-proxy-for-aws@latest",
      "https://aws-mcp.us-east-1.api.aws/mcp",
      "--profile", "my-profile",
      "--metadata", "AWS_REGION=us-west-2"
    ]
    
  2. Environment Variables:

    "env": {
      "AWS_ACCESS_KEY_ID": "...",
      "AWS_SECRET_ACCESS_KEY": "...",
      "AWS_REGION": "us-west-2"
    }
    
  3. IAM Role (for EC2/ECS/Lambda): No additional config needed - uses instance credentials

Additional Options:

  • --region <region>: Override AWS region
  • --read-only: Restrict to read-only tools
  • --log-level <level>: Set logging level (debug, info, warning, error)

Reference: https://github.com/aws/mcp-proxy-for-aws

Option B: AWS Documentation MCP Server (No Auth)

Use when:

  • No Python/uvx environment
  • No AWS credentials
  • Only need documentation search (no API execution)

Configuration:

{
  "mcpServers": {
    "awsdocs": {
      "type": "http",
      "url": "https://knowledge-mcp.global.api.aws"
    }
  }
}

Step 3: Verification

After configuration, verify tools are available:

For Full AWS MCP:

  • Look for tools: mcp__aws-mcp__aws___search_documentation, mcp__aws-mcp__aws___call_aws

For Documentation MCP:

…

FAQ

How do I know if it's already set up?

You can check the available commands for the AI or look at the configuration files in your project or account.

What's the difference between the two setup options?

The full option allows the AI to run commands on AWS and search documentation. The simpler option only allows searching documentation.

What should I do if the AI can't connect?

Check if your AWS permissions are correct and if your credentials (login information) are valid.

Details

Original description by the author

Configure AWS MCP servers for documentation search and API access. Use when setting up AWS MCP, configuring AWS documentation tools, troubleshooting MCP connectivity, or when user mentions aws-mcp, awsdocs, uvx setup, or MCP server configuration.

repo: sickn33/agentic-awesome-skills

Popularity

GitHub stars
48k
Ranking position
#2248
License
MIT
Updated
10/15/2026

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