aws-mcp-setup
Configure AWS Documentation MCP server to query up-to-date AWS knowledge, APIs, and best practices
- License 许可
- MIT
- 最近更新
- 2026-08-03
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01 前言 Front Matter
- name
- aws-mcp-setup
- description
- Configure AWS Documentation MCP server to query up-to-date AWS knowledge, APIs, and best practices
03 SKILL.md 正文
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:
Method A: Check Available Tools (Recommended)
Look for these tool name patterns in your agent's available tools:
mcp__aws-mcp__*ormcp__aws__*→ Full AWS MCP Server configuredmcp__*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"
Option A: Full AWS MCP Server (Recommended)
Use when: uvx available AND AWS credentials valid
Prerequisites:
- Python 3.10+ with
uvpackage 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 |
04 同仓库更多 Skills
next-workflow-step
Use this skill when the user wants to transition to the next workflow step, wrap up a session cleanly, prepare a handoff, or says things like "next step", "continue the workflow", "wrap up", "hand off", "move to the next phase", "what's next in embrace", or "prepare for /clear". Also triggers when the current octo:embrace phase appears complete and no explicit next action is set.
source-discovery
This skill should be used when the user asks to "find sources", "discover URLs", "catalog a source", "classify a URL", "search for libraries", "check what exists", or mentions source discovery, URL cataloging, source classification, or research source management.
review-synthesis
This skill should be used when the user asks to "summarize review findings", "prioritize fixes", "rank review issues", "combine reviewer feedback", "create action items from review", or mentions review synthesis, finding prioritization, severity ranking, or review result summarization.
research-scoring
This skill should be used when the user asks to "score research", "check research quality", "evaluate coverage", "measure improvement", "assess research completeness", or mentions research scoring, quality metrics, coverage gaps, improvement baseline, or research pipeline status.
notebooklm-integration
This skill should be used when the user asks to "ingest into NotebookLM", "query NotebookLM", "add sources to notebook", "cross-source synthesis", "check stale sources", or mentions NotebookLM, notebook integration, source ingestion, or knowledge consolidation.
evidence-synthesis
This skill should be used when the user asks to "synthesize findings", "combine research", "cross-reference sources", "summarize evidence", "write a deep review", or mentions evidence synthesis, finding consolidation, cross-source analysis, or research summarization.