
AWS Documentation MCP Server
Provides tools to access AWS documentation, search for content, and get recommendations for both global and China AWS regions.
README
AWS Documentation MCP Server
Model Context Protocol (MCP) server for AWS Documentation
This MCP server provides tools to access AWS documentation, search for content, and get recommendations.
Features
- Read Documentation: Fetch and convert AWS documentation pages to markdown format
- Search Documentation: Search AWS documentation using the official search API (global only)
- Recommendations: Get content recommendations for AWS documentation pages (global only)
- Get Available Services List: Get a list of available AWS services in China regions (China only)
Prerequisites
Installation Requirements
- Install
uv
from Astral or the GitHub README - Install Python 3.10 or newer using
uv python install 3.10
(or a more recent version)
Installation
Cursor | VS Code |
---|---|
Configure the MCP server in your MCP client configuration (e.g., for Amazon Q Developer CLI, edit ~/.aws/amazonq/mcp.json
):
{
"mcpServers": {
"awslabs.aws-documentation-mcp-server": {
"command": "uvx",
"args": ["awslabs.aws-documentation-mcp-server@latest"],
"env": {
"FASTMCP_LOG_LEVEL": "ERROR",
"AWS_DOCUMENTATION_PARTITION": "aws"
},
"disabled": false,
"autoApprove": []
}
}
}
Note: Set
AWS_DOCUMENTATION_PARTITION
toaws-cn
to query AWS China documentation instead of global AWS documentation.
or docker after a successful docker build -t mcp/aws-documentation .
:
{
"mcpServers": {
"awslabs.aws-documentation-mcp-server": {
"command": "docker",
"args": [
"run",
"--rm",
"--interactive",
"--env",
"FASTMCP_LOG_LEVEL=ERROR",
"--env",
"AWS_DOCUMENTATION_PARTITION=aws",
"mcp/aws-documentation:latest"
],
"env": {},
"disabled": false,
"autoApprove": []
}
}
}
Basic Usage
Example:
- "look up documentation on S3 bucket naming rule. cite your sources"
- "recommend content for page https://docs.aws.amazon.com/AmazonS3/latest/userguide/bucketnamingrules.html"
Tools
read_documentation
Fetches an AWS documentation page and converts it to markdown format.
read_documentation(url: str) -> str
search_documentation (global only)
Searches AWS documentation using the official AWS Documentation Search API.
search_documentation(search_phrase: str, limit: int) -> list[dict]
recommend (global only)
Gets content recommendations for an AWS documentation page.
recommend(url: str) -> list[dict]
get_available_services (China only)
Gets a list of available AWS services in China regions.
get_available_services() -> str
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.