AWS Agentic AI
zxkane/aws-skills
AWS Bedrock AgentCore comprehensive expert for deploying and managing AI agents at scale.
Configure AWS MCP servers for documentation search and API access.
$ npx skills add sickn33/agentic-awesome-skills --skill aws-mcp-setup -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sickn33/agentic-awesome-skills aws-mcp-setup --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "aws-mcp-setup" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/aws-mcp-setup into .claude/skills/aws-mcp-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-mcp-setup", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/aws-mcp-setupType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add sickn33/agentic-awesome-skills --skill aws-mcp-setup -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sickn33/agentic-awesome-skills aws-mcp-setup --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/aws-mcp-setup .agents/skills/aws-mcp-setup && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "aws-mcp-setup" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/aws-mcp-setup into .agents/skills/aws-mcp-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-mcp-setup", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sickn33/agentic-awesome-skills --skill aws-mcp-setup -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sickn33/agentic-awesome-skills aws-mcp-setup --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/aws-mcp-setup .cursor/skills/aws-mcp-setup && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "aws-mcp-setup" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/aws-mcp-setup into .cursor/skills/aws-mcp-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-mcp-setup", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/sickn33/agentic-awesome-skills.git --path skills/aws-mcp-setup--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add sickn33/agentic-awesome-skills --skill aws-mcp-setup -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sickn33/agentic-awesome-skills aws-mcp-setup --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/aws-mcp-setup .gemini/skills/aws-mcp-setup && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "aws-mcp-setup" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/aws-mcp-setup into .gemini/skills/aws-mcp-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-mcp-setup", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install sickn33/agentic-awesome-skills aws-mcp-setupInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add sickn33/agentic-awesome-skills --skill aws-mcp-setup -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/aws-mcp-setup .github/skills/aws-mcp-setup && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "aws-mcp-setup" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/aws-mcp-setup into .github/skills/aws-mcp-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-mcp-setup", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sickn33/agentic-awesome-skills --skill aws-mcp-setup -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sickn33/agentic-awesome-skills aws-mcp-setup --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/aws-mcp-setup .opencode/skills/aws-mcp-setup && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "aws-mcp-setup" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/aws-mcp-setup into .opencode/skills/aws-mcp-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-mcp-setup", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
aws-mcp-setupConfigure 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. 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.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 680176d. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
awsclaudepipFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
aws-mcp.us-east-1.api.awsknowledge-mcp.global.api.awsAlso links to:
github.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
AWS_ACCESS_KEY_IDAWS_SECRET_ACCESS_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from sickn33/agentic-awesome-skills at commit 680176d, republished under its MIT licence (© sickn33). 471 words, ~1,477 tokens.
.claude/skills/aws-mcp-setup/SKILL.md (or your agent's skills folder).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...
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 |
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 configuredmcp__*awsdocs*__aws___* → AWS Documentation MCP configuredHow to check: Run /mcp command to list all active MCP servers.
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 listIf AWS MCP is already configured, no further setup needed.
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:
uv package managerRequired 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
Use when:
Configuration:
{
"mcpServers": {
"awsdocs": {
"type": "http",
"url": "https://knowledge-mcp.global.api.aws"
}
}
}After configuration, verify tools are available:
For Full AWS MCP:
mcp__aws-mcp__aws___search_documentation, mcp__aws-mcp__aws___call_awsFor Documentation MCP:
mcp__awsdocs__aws___search_documentation, mcp__awsdocs__aws___read_documentation| 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 |
© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/aws-mcp-setup of sickn33/agentic-awesome-skills.
Open the folder on GitHubat commit 680176d
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.
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| AWS MCP Setup this skillsickn33/agentic-awesome-skills | 47k | 1 repos | ~1.5k | Automated safety check: Pass | MIT | |
| AWS Agentic AIzxkane/aws-skills | 367 | — | ~2.5k | Automated safety check: Pass | MIT | |
| AWS MCP Setupzxkane/aws-skills | 367 | — | ~1.3k | Automated safety check: Pass | MIT | |
| Atmos AIcloudposse/atmos | 1.4k | — | ~4k | Automated safety check: Pass | Apache-2.0 | |
| Setup Devops Agentaws/agent-toolkit-for-aws | 2.8k | — | ~3.1k | Automated safety check: Notes | Apache-2.0 | |
| Hcls Deploy Agentaws-samples/amazon-bedrock-agents-healthcare-lifesciences | 274 | — | ~813 | Automated safety check: Pass | MIT-0 |
zxkane/aws-skills
AWS Bedrock AgentCore comprehensive expert for deploying and managing AI agents at scale.
zxkane/aws-skills
Configure AWS MCP servers for documentation search and API access.
cloudposse/atmos
Atmos AI and MCP integrations: connect external AI assistants to Atmos through agent skills, atmos mcp start, multi-CLI MCP export, Atmos Pro MCP, and AWS MCP servers; run AI from Atmos through…
aws/agent-toolkit-for-aws
Setup and diagnostics for the AWS DevOps Agent MCP connection.
aws-samples/amazon-bedrock-agents-healthcare-lifesciences
A skill your agent uses when a developer wants to deploy an HCLS agent to Amazon Bedrock AgentCore, configure Gateway tools as MCP endpoints, set up authentication with Cognito, configure memory, or…
CommandCodeAI/agent-skills
AWS Bedrock AgentCore comprehensive expert for deploying and managing all AgentCore services.
sickn33/agentic-awesome-skills
Implements an interface in one of two named color modes, iridescent white or colorful black, from a parameterized starter that reports measured color intensity.
sickn33/agentic-awesome-skills
Saves a user's project decisions, rules and preferences into a project-local mdbase so later sessions and other agents can recover the intent.
sickn33/agentic-awesome-skills
Keeps project decisions, research and verified results available across coding-agent sessions through LWC memory, a document Wiki graph and a CodeGraph code index.
sickn33/agentic-awesome-skills
Guides an agent through assessing its own owner for cofounder fit, publishing an approved profile, and ranking complementary profiles other agents published for their owners.
sickn33/agentic-awesome-skills
Integracao com WhatsApp Business Cloud API (Meta). An agent skill from sickn33/agentic-awesome-skills.
sickn33/agentic-awesome-skills
Acts as a proxy for the Cline CLI, dispatching coding tasks one at a time, monitoring runs by hard evidence, relaying decisions to you and learning per-project preferences.
Categories
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.
AWS MCP Setup fits situations like: setting up AWS MCP; configuring AWS documentation tools; troubleshooting MCP connectivity; user mentions aws-mcp.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.