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Agent skill

AWS MCP Setup

by zxkane in zxkane/aws-skills

Configure AWS MCP servers for documentation search and API access.

MITAuto-check passedAgent Workflows

Install AWS MCP Setup

skills CLI
$ npx skills add zxkane/aws-skills --skill aws-mcp-setup -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install zxkane/aws-skills aws-mcp-setup --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/zxkane/aws-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/aws-common/skills/aws-mcp-setup .claude/skills/aws-mcp-setup && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
aws-mcp-setup
GitHub stars
367
Token cost
~1.3k tokens
SKILL.md length
370 words
Files
1
Skills in repo
6
Repo updated
First seen
Licence
MIT

At a glance

Configure AWS MCP servers for documentation search and API access.

  • Works in 3 steps: Check Existing Configuration → Choose Configuration Method → Verification
  • Setting up AWS MCP
  • SKILL.md covers Overview, Step 1: Check Existing…, Step 2: Choose Configuration… and Step 3: Verification, plus 1 more section
  • Calls aws, claude and pip; reaches aws-mcp.us-east-1.api.aws and knowledge-mcp.global.api.aws; needs AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY

What it does

AWS MCP Setup is an agent skill from zxkane/aws-skills. 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).

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering MCP servers. It works with Model Context Protocol and Amazon Web Services. The repository describes itself as: Claude Code plugins and agent skills for AWS development — IaC(CDK/SST), serverless, cost ops, and Bedrock AgentCore. The licence is MIT.

When your agent uses it

  • Setting up AWS MCP
  • Configuring AWS documentation tools
  • Troubleshooting MCP connectivity
  • User mentions aws-mcp

Example prompts

  • “/aws-mcp-setup”

Requirements

  • Python 3
  • A credential in AWS_SECRET_ACCESS_KEY
  • Pre-approved tools (allowed-tools): Bash(which *), Bash(aws sts get-caller-identity*), Bash(claude mcp *), Bash(cat *mcp.json*), Bash(cat *claude.json*)

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Check Existing Configuration
  2. Choose Configuration Method
  3. Verification

What it can do on your machine

Read from SKILL.md and the folder at commit 68530c6. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Bash(which *)
    • Bash(aws sts get-caller-identity*)
    • Bash(claude mcp *)
    • Bash(cat *mcp.json*)
    • Bash(cat *claude.json*)

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • aws
    • claude
    • pip

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • aws-mcp.us-east-1.api.aws
    • knowledge-mcp.global.api.aws

    Also links to:

    • github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • AWS_ACCESS_KEY_ID
    • AWS_SECRET_ACCESS_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

AWS MCP Setup loads about 1.3k tokens when it runs. Until then it costs about 93 tokens; SKILL.md has 370 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~93
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from zxkane/aws-skills at commit 68530c6, republished under its MIT licence (© zxkane). 370 words, ~1,296 tokens.

Download SKILL.mdSave it as .claude/skills/aws-mcp-setup/SKILL.md (or your agent's skills folder).
name
aws-mcp-setup
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. Covers both Full AWS MCP Server (with uvx + credentials) and lightweight Documentation MCP (no auth required).
allowed-tools
Bash(which *), Bash(aws sts get-caller-identity*), Bash(claude mcp *), Bash(cat *mcp.json*), Bash(cat *claude.json*)

AWS MCP Server Configuration Guide

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:

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:

bash
# 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:

bash
# 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"
Show full SKILL.md (202 more words)Show less

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:

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

Configuration (add to your MCP settings):

json
{
  "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):

    json
    "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:

    json
    "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:

json
{
  "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

© zxkane, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in plugins/aws-common/skills/aws-mcp-setup of zxkane/aws-skills.

Open the folder on GitHubat commit 68530c6

Compare with similar skills

AWS MCP Setup next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Hcls Deploy Agentaws-samples/amazon-bedrock-agents-healthcare-lifesciences274—~813Automated safety check: PassMIT-0
AWS Agentic AICommandCodeAI/agent-skills132—~1.5kAutomated safety check: PassMIT

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Works with

Categories

Questions about AWS MCP Setup

What does AWS MCP Setup do?

Configure AWS MCP servers for documentation search and API access. AWS MCP Setup is an agent skill from zxkane/aws-skills. Configure AWS MCP servers for documentation search and API access.

When should I use AWS MCP Setup?

AWS MCP Setup fits situations like: setting up AWS MCP; configuring AWS documentation tools; troubleshooting MCP connectivity; user mentions aws-mcp.

How do I install AWS MCP Setup in Claude Code?

Run `npx skills add zxkane/aws-skills --skill aws-mcp-setup -a claude-code`. Or copy the skill folder (plugins/aws-common/skills/aws-mcp-setup in zxkane/aws-skills) into .claude/skills/aws-mcp-setup in your project. Claude Code loads it when a task matches its description.

How do I install AWS MCP Setup in Codex?

Run `npx skills add zxkane/aws-skills --skill aws-mcp-setup -a codex`. Or copy the skill folder (plugins/aws-common/skills/aws-mcp-setup in zxkane/aws-skills) into .agents/skills/aws-mcp-setup in your project. Codex loads it when a task matches its description.

Can I use AWS MCP Setup in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add zxkane/aws-skills --skill aws-mcp-setup -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aws-mcp-setup, .gemini/skills/aws-mcp-setup, .github/skills/aws-mcp-setup and .opencode/skills/aws-mcp-setup in your project.

What does AWS MCP Setup need to run?

Going by SKILL.md and its folder, AWS MCP Setup needs the command-line tools its instructions call (aws, claude and pip) and credentials named AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY. Our summary lists: Python 3; A credential in AWS_SECRET_ACCESS_KEY. Its frontmatter pre-approves these tools: Bash(which *), Bash(aws sts get-caller-identity*), Bash(claude mcp *), Bash(cat *mcp.json*), Bash(cat *claude.json*).

Does AWS MCP Setup access the network?

SKILL.md names 3 domains. In commands or code: aws-mcp.us-east-1.api.aws and knowledge-mcp.global.api.aws; the agent is likely to contact these when it follows the instructions. As links in the text: github.com. This is read from the text; nothing was executed.

Is AWS MCP Setup safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does AWS MCP Setup use?

AWS MCP Setup is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does AWS MCP Setup use?

About 1.3k tokens (SKILL.md is roughly 5.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to AWS MCP Setup?

Skills that share tags, products or a category with AWS MCP Setup: AWS MCP Setup (sickn33/agentic-awesome-skills, 47k stars), Atmos AI (cloudposse/atmos, 1.4k stars), Setup Devops Agent (aws/agent-toolkit-for-aws, 2.8k stars) and Hcls Deploy Agent (aws-samples/amazon-bedrock-agents-healthcare-lifesciences, 274 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains AWS MCP Setup?

zxkane (a GitHub user) maintains it in zxkane/aws-skills, which has 367 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on June 15, 2026.

Source: zxkane/aws-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.