Agent skill

AWS MCP Setup

by sickn33 in sickn33/agentic-awesome-skills

Configure AWS MCP servers for documentation search and API access.

MITAuto-check passedAgent Workflows

Install AWS MCP Setup

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill aws-mcp-setup -a claude-code

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

GitHub CLI
$ gh skill install sickn33/agentic-awesome-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/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/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
47k
Used in
1 other repo
Token cost
~1.5k tokens
SKILL.md length
471 words
Files
1
Skills in repo
1,493
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 When to Use, Overview, Step 1: Check Existing… and Step 2: Choose Configuration…, plus 3 more sections
  • 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 sickn33/agentic-awesome-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.

Its SKILL.md is about 1.5k 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: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… 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

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 680176d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    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 1.5k tokens when it runs. Until then it costs about 65 tokens; SKILL.md has 471 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~65
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k

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 sickn33/agentic-awesome-skills at commit 680176d, republished under its MIT licence (© sickn33). 471 words, ~1,477 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.
risk
critical
source
https://github.com/zxkane/aws-skills/tree/main/plugins/aws-common/skills/aws-mcp-setup
source_repo
zxkane/aws-skills
source_type
community
date_added
2026-07-01
license
MIT
license_source
https://github.com/zxkane/aws-skills/blob/main/LICENSE

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:

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"

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

Show full SKILL.md (150 more words)Show less
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

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.

© sickn33, 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 skills/aws-mcp-setup of sickn33/agentic-awesome-skills.

Open the folder on GitHubat commit 680176d

Used in 1 other repository

We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.

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.

AWS MCP Setup compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
AWS MCP Setup this skillsickn33/agentic-awesome-skills47k1 repos~1.5kAutomated safety check: PassMIT
AWS Agentic AIzxkane/aws-skills367—~2.5kAutomated safety check: PassMIT
AWS MCP Setupzxkane/aws-skills367—~1.3kAutomated safety check: PassMIT
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Setup Devops Agentaws/agent-toolkit-for-aws2.8k—~3.1kAutomated safety check: NotesApache-2.0
Hcls Deploy Agentaws-samples/amazon-bedrock-agents-healthcare-lifesciences274—~813Automated safety check: PassMIT-0

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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 sickn33/agentic-awesome-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 sickn33/agentic-awesome-skills --skill aws-mcp-setup -a claude-code`. Or copy the skill folder (skills/aws-mcp-setup in sickn33/agentic-awesome-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 sickn33/agentic-awesome-skills --skill aws-mcp-setup -a codex`. Or copy the skill folder (skills/aws-mcp-setup in sickn33/agentic-awesome-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 sickn33/agentic-awesome-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.

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 (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does AWS MCP Setup use?

About 1.5k tokens (SKILL.md is roughly 5.9k 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 Agentic AI (zxkane/aws-skills, 367 stars), AWS MCP Setup (zxkane/aws-skills, 367 stars), Atmos AI (cloudposse/atmos, 1.4k stars) and Setup Devops Agent (aws/agent-toolkit-for-aws, 2.8k 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?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,379 GitHub stars. The repository holds 1,493 skills in this directory. The repository was last updated on October 9, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.