What AWS permissions are required?
AWS credentials must have appropriate Athena permissions (e.g., for query execution and S3 output location access).
@vipink1203
基本情報
AWS Athena MCP Server
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"aws-athena-mcp-server": {
"command": "python",
"args": [
"main.py"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
The AWS Athena MCP Server implements the Model Context Protocol to provide a standardized way for n8n AI agents to query AWS Athena and retrieve data. It allows agents to list available databases and tables, get table schemas and metadata, and execute SQL queries with results.
Install dependencies (pip install -r requirements.txt), set AWS credentials and environment variables (e.g., AWS_REGION, ATHENA_OUTPUT_LOCATION), then run python main.py. Alternatively, build a Docker image and run it, or deploy to Amazon EKS using the provided Kubernetes manifests.
AWS credentials must have appropriate Athena permissions (e.g., for query execution and S3 output location access).
The server uses environment variables including `AWS_REGION`, `ATHENA_CATALOG`, `ATHENA_DATABASE`, `ATHENA_WORKGROUP`, `ATHENA_OUTPUT_LOCATION`, `HOST`, and `PORT` (default 8050).
Results are written to the S3 location specified in the `ATHENA_OUTPUT_LOCATION` environment variable, which is required.
The server implements the Model Context Protocol (MCP) over HTTP and is designed to communicate with n8n AI agents.
The README explicitly states it is designed for integration with n8n AI agents, though it implements a standard MCP interface.

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