An AWS Labs Model Context Protocol (MCP) server for AWS Documentation
Project description
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
- Recommendations: Get content recommendations for AWS documentation pages
Prerequisites
Installation Requirements
- Install
uvfrom Astral or the GitHub README - Install Python 3.10 or newer using
uv python install 3.10(or a more recent version)
Installation
To add this MCP server to your Amazon Q or Claude, add the following to your MCP config file. With Amazon Q, create (if does not yet exist) a file named .amazonq/mcp.json under the same directory that is running q chat. Then add the following config:
{
"mcpServers": {
"awslabs.aws-documentation-mcp-server": {
"command": "uvx",
"args": ["awslabs.aws-documentation-mcp-server@latest"],
"env": {
"FASTMCP_LOG_LEVEL": "ERROR"
},
"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
Searches AWS documentation using the official AWS Documentation Search API.
search_documentation(search_phrase: str, limit: int) -> list[dict]
recommend
Gets content recommendations for an AWS documentation page.
recommend(url: str) -> list[dict]
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