https://github.com/awslabs/amazon-datazone-mcp-server
Science Score: 26.0%
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○CITATION.cff file
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○Scientific vocabulary similarity
Low similarity (10.7%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: awslabs
- License: other
- Language: Python
- Default Branch: main
- Size: 869 KB
Statistics
- Stars: 1
- Watchers: 1
- Forks: 2
- Open Issues: 1
- Releases: 0
Metadata Files
README.md
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
| 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
bash
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:
bash
amazon-datazone-mcp-server
Integration with MCP Clients
Configure in your MCP client (e.g., Claude Desktop):
json
{
"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.
Owner
- Name: Amazon Web Services - Labs
- Login: awslabs
- Kind: organization
- Location: Seattle, WA
- Website: http://amazon.com/aws/
- Repositories: 914
- Profile: https://github.com/awslabs
AWS Labs
GitHub Events
Total
- Watch event: 2
- Delete event: 6
- Issue comment event: 6
- Push event: 51
- Pull request review event: 2
- Pull request review comment event: 11
- Pull request event: 18
- Fork event: 1
- Create event: 7
Last Year
- Watch event: 2
- Delete event: 6
- Issue comment event: 6
- Push event: 51
- Pull request review event: 2
- Pull request review comment event: 11
- Pull request event: 18
- Fork event: 1
- Create event: 7
Packages
- Total packages: 1
- Total downloads: unknown
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 1
- Total maintainers: 1
pypi.org: amazon-datazone-mcp-server
MCP server for AWS DataZone service - enables LLMs to interact with DataZone for data governance, cataloging, and management
- Homepage: https://github.com/awslabs/amazon-datazone-mcp-server
- Documentation: https://github.com/awslabs/amazon-datazone-mcp-server/blob/main/docs/
- License: other
-
Latest release: 0.1.0
published 11 months ago
Rankings
Maintainers (1)
Dependencies
- boto3 *
- httpx *
- mcp [cli]>=1.9.2
- annotated-types 0.7.0
- anyio 4.9.0
- black 25.1.0
- boto3 1.38.26
- botocore 1.38.26
- certifi 2025.4.26
- cfgv 3.4.0
- click 8.2.1
- colorama 0.4.6
- coverage 7.8.2
- datazone-mcp-server *
- distlib 0.3.9
- exceptiongroup 1.3.0
- filelock 3.18.0
- flake8 7.2.0
- h11 0.16.0
- httpcore 1.0.9
- httpx 0.28.1
- httpx-sse 0.4.0
- identify 2.6.12
- idna 3.10
- iniconfig 2.1.0
- isort 6.0.1
- jmespath 1.0.1
- markdown-it-py 3.0.0
- mccabe 0.7.0
- mcp 1.9.2
- mdurl 0.1.2
- mypy 1.16.0
- mypy-extensions 1.1.0
- nodeenv 1.9.1
- packaging 25.0
- pathspec 0.12.1
- platformdirs 4.3.8
- pluggy 1.6.0
- pre-commit 4.2.0
- pycodestyle 2.13.0
- pydantic 2.11.5
- pydantic-core 2.33.2
- pydantic-settings 2.9.1
- pyflakes 3.3.2
- pygments 2.19.1
- pytest 8.3.5
- pytest-asyncio 1.0.0
- pytest-cov 6.1.1
- python-dateutil 2.9.0.post0
- python-dotenv 1.1.0
- python-multipart 0.0.20
- pyyaml 6.0.2
- rich 14.0.0
- s3transfer 0.13.0
- shellingham 1.5.4
- six 1.17.0
- sniffio 1.3.1
- sse-starlette 2.3.5
- starlette 0.47.0
- tomli 2.2.1
- typer 0.16.0
- typing-extensions 4.13.2
- typing-inspection 0.4.1
- urllib3 2.4.0
- uvicorn 0.34.2
- virtualenv 20.31.2