aws/aws-data-analytics
v1.0.0Apache-2.0
Data lake, analytics, and ETL workflows with S3 Tables, AWS Glue, and Athena. Covers managed Iceberg tables on S3 Tables, ingestion from JDBC databases, Amazon Redshift, Snowflake, BigQuery, and DynamoDB, AWS Glue Data Catalog inventory and asset discovery, federated Athena queries, and vector storage and semantic search on Amazon S3 Vectors.
MCP servers
Declared configuration, as published in mcp.json. The directory shows indexed content; it never connects to or executes these servers.
aws-mcpstdio
{
"type": "stdio",
"command": "uvx",
"args": [
"mcp-proxy-for-aws@1.6.4",
"https://aws-mcp.us-east-1.api.aws/mcp",
"--skip-auth",
"--metadata",
"INSTALL_SOURCE=agent-toolkit-data-analytics"
]
}What this package declares
The files a client reads when it loads this plugin, exactly as this revision carries them.
{
"$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json",
"name": "aws-data-analytics",
"version": "1.0.0",
"description": "Data lake, analytics, and ETL workflows with S3 Tables, AWS Glue, and Athena. Covers managed Iceberg tables on S3 Tables, ingestion from JDBC databases, Amazon Redshift, Snowflake, BigQuery, and DynamoDB, AWS Glue Data Catalog inventory and asset discovery, federated Athena queries, and vector storage and semantic search on Amazon S3 Vectors.",
"author": {
"name": "Amazon Web Services"
},
"homepage": "https://aws.amazon.com/products/developer-tools/agent-toolkit-for-aws/",
"repository": "https://github.com/aws/agent-toolkit-for-aws",
"license": "Apache-2.0",
"keywords": [
"aws",
"amazon",
"amazon-web-services",
"iam",
"analytics",
"data-lake",
"lakehouse",
"athena",
"glue",
"aws-glue",
"data-catalog",
"s3",
"s3-tables",
"s3-vectors",
"iceberg",
"apache-iceberg",
"etl",
"redshift",
"snowflake",
"bigquery",
"dynamodb",
"jdbc",
"vector-search",
"rag"
]
}