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Amazon Datazone

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MCP server for AWS DataZone service - enables LLMs to interact with DataZone for data governance, cataloging, and management

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MCP server for AWS DataZone service - enables LLMs to interact with DataZone for data governance, cataloging, and management

README

Python Version License MCP

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

Module Operations
Domain Management Create domains, manage domain units, search, policy grants
Project Management Create/manage projects, project profiles, memberships
Data Management Assets, listings, subscriptions, form types, data sources
Glossary Business glossaries, glossary terms
Environment Environments, connections, blueprints

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
  • Connection management: create_connection, get_connection, list_connections
  • Blueprint operations: list and get blueprints and configurations

Each tool includes comprehensive parameter documentation and examples accessible through your MCP client.

License

Licensed under the Apache License 2.0 - see the LICENSE file for details.

Disclaimer

This is an unofficial, community-developed project and is not affiliated with, endorsed by, or supported by Amazon Web Services, Inc.

  • AWS and DataZone are trademarks of Amazon.com, Inc. or its affiliates
  • Users are responsible for their own AWS credentials, costs, and compliance
  • No warranty or support is provided - use at your own risk
  • Always follow AWS security best practices

For official Amazon DataZone documentation, visit Amazon DataZone Documentation.

from github.com/awslabs/amazon-datazone-mcp-server

Installing Amazon Datazone

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/awslabs/amazon-datazone-mcp-server

FAQ

Is Amazon Datazone MCP free?

Yes, Amazon Datazone MCP is free — one-click install via Unyly at no cost.

Does Amazon Datazone need an API key?

No, Amazon Datazone runs without API keys or environment variables.

Is Amazon Datazone hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install Amazon Datazone in Claude Desktop, Claude Code or Cursor?

Open Amazon Datazone on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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