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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

  1. Install uv from Astral or the GitHub README
  2. 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:

AWS Documentation MCP Demo

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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