Amazon Datazone
FreeNot checkedMCP server for AWS DataZone service - enables LLMs to interact with DataZone for data governance, cataloging, and management
About
MCP server for AWS DataZone service - enables LLMs to interact with DataZone for data governance, cataloging, and management
README
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_domainslist_domain_units,create_domain_unitadd_entity_owner,add_policy_grantsearch,search_types- User/group profile management
Project Management
create_project,get_project,list_projectscreate_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_glossarycreate_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.
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-serverFAQ
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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