Amazon DataZone MCP Server

A high-performance Model Context Protocol (MCP) server that provides seamless integration with Amazon DataZone services. This server enables AI assistants and applications to interact with Amazon DataZone APIs through a standardized interface.

Features

• Complete Amazon DataZone API Coverage: Access all major DataZone operations
• Type Safety: Full type hints and validation
• Production Ready: Robust error handling and logging
• MCP Compatible: Works with any MCP-compatible client

Supported Operations

Installation

pip install amazon-datazone-mcp-server

Configuration

Configure AWS credentials using the standard AWS methods:

• AWS CLI: aws configure
• Environment variables: AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_DEFAULT_REGION
• IAM roles or instance profiles

Running the Server

The server uses stdio transport for secure communication with MCP clients:

amazon-datazone-mcp-server

Integration with MCP Clients

Configure in your MCP client (e.g., Claude Desktop):

{
  "name": "amazon-datazone-mcp-server",
  "command": "amazon-datazone-mcp-server"
}

Available Tools

The server provides 38 tools across 5 categories:

Domain Management

• get_domain, create_domain, list_domains
• list_domain_units, create_domain_unit
• add_entity_owner, add_policy_grant
• search, search_types
• User/group profile management

Project Management

• create_project, get_project, list_projects
• create_project_membership, list_project_memberships
• Project profile management

Data Management

• Asset operations: get_asset, create_asset, publish_asset
• Listing operations: get_listing, search_listings
• Data source management: create_data_source, start_data_source_run
• Subscription management: request, accept, get subscriptions
• Form type management

Glossary Management

• create_glossary, get_glossary
• create_glossary_term, get_glossary_term

Environment Management

• Environment operations: list_environments, get_environment