mcpbeat

AWS MCP Setup

zxkane/aws-mcp-setup

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 uvx + credentials) and lightweight Documentation MCP (no auth required).

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the whole folder, loaded on every use
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instructions only
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copies elsewhere
how many repositories repackaged it
342
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/zxkane/aws-skills --skill aws-mcp-setup

The instruction itself

11 sections, as written by the author

AWS MCP Server Configuration Guide

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:

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"

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:

  • 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"
   ]
  • Environment Variables:
   "env": {
     "AWS_ACCESS_KEY_ID": "...",
     "AWS_SECRET_ACCESS_KEY": "...",
     "AWS_REGION": "us-west-2"
   }
  • 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:

  • Look for tools: mcp__awsdocs__aws___search_documentation, mcp__awsdocs__aws___read_documentation

Troubleshooting

| Issue | Cause | Solution |

|-------|-------|----------|

| uvx: command not found | uv not installed | Install with pip install uv or use Option B |

| AccessDenied error | Missing IAM permissions | Add aws-mcp:* permissions to IAM policy |

| InvalidSignatureException | Credential issue | Check aws sts get-caller-identity |

| Tools not appearing | MCP not started | Restart your agent after config change |

Repackaged in 1 other repositories

same content, different owner
aws-samples/sample-agent-skills-for-builders open on GitHub →

How to use it

Copy the folder

Take zxkane/aws-mcp-setup from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.

Install what it needs

The instructions reference pip, uvx. Without those the skill loads but fails at the first command.