Provides access to AWS documentation, enabling users to fetch and convert documentation pages to markdown, search AWS documentation using the official search API, and get content recommendations for AWS documentation pages.
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
):
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 .
:
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.
search_documentation (global only)
Searches AWS documentation using the official AWS Documentation Search API.
recommend (global only)
Gets content recommendations for an AWS documentation page.
get_available_services (China only)
Gets a list of available AWS services in China regions.
This server cannot be installed
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
Enables users to access, search, and get recommendations from AWS documentation through natural language queries. Supports both global AWS documentation and AWS China documentation with tools to fetch pages, search content, and discover related resources.
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