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aws-mcp-setup

Configure MCP connections, which link AI agents to tools, for AWS documentation search and API access. Check existing settings, choose between documentation-only and full API access, verify available tools, and troubleshoot connection or credential problems.

OriginalShow the original description

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.

Works withAWS
See how to install

Good for

  • Set up AWS documentation search for an AI agent
  • Configure an MCP connection for AWS API access
  • Check existing AWS MCP settings
  • Troubleshoot missing tools or authentication errors

Files included (1)

  • SKILL.md5.8 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

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:

OptionRequirementsCapabilities
Full AWS MCP ServerPython 3.10+, uvx, AWS credentialsExecute AWS API calls + documentation search
AWS Documentation MCPNoneDocumentation 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):

ScopeFile LocationUse Case
Local.claude.json (in project)Personal/experimental
Project.mcp.json (project root)Team-shared
User~/.claude.jsonCross-project personal
EnterpriseSystem managed directoriesOrganization-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:

  • Look for tools: mcp__awsdocs__aws___search_documentation, mcp__awsdocs__aws___read_documentation

Troubleshooting

IssueCauseSolution
uvx: command not founduv not installedInstall with pip install uv or use Option B
AccessDenied errorMissing IAM permissionsAdd aws-mcp:* permissions to IAM policy
InvalidSignatureExceptionCredential issueCheck aws sts get-caller-identity
Tools not appearingMCP not startedRestart your agent after config change

Limitations

  • Use this skill only when the task clearly matches its upstream source and local project context.
  • Verify commands, generated code, dependencies, credentials, and external service behavior before applying changes.
  • Do not treat examples as a substitute for environment-specific tests, security review, or user approval for destructive or costly actions.

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