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SKILL.md
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
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)