What dependencies are required?
Python 3.11+, AWS credentials configured for boto3, Ollama installed locally, and Python packages: boto3, agno, fastmcp, rich, click.
@skjortan23
基本情報
Query your AWS environment with natural language.
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-security-mcp-server": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}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。
It is an MCP (Model Context Protocol) server that integrates AWS tools (listing security groups, S3 buckets, analyzing VPC connections) using FastMCP and the Agno framework. It enables remote clients to interact with these AWS operations via standardized MCP endpoints and includes an interactive agent that uses local Ollama models.
After installing Python 3.11+, configuring AWS credentials, and installing Ollama, clone the repository and install dependencies. Run the MCP server with python src/aws-security-mcp-server.py. Then run the interactive agent with python src/aws-demo-agent.py. Alternatively, connect any MCP-compliant client (e.g., using Agno’s MCPTools) to the SSE endpoint at http://127.0.0.1:8000/sse/.
Python 3.11+, AWS credentials configured for boto3, Ollama installed locally, and Python packages: boto3, agno, fastmcp, rich, click.
It uses FastMCP with Server‑Sent Events (SSE) transport, listening on `127.0.0.1:5678` (the SSE URL is typically `http://127.0.0.1:8000/sse/`).
The project demonstrates only local Ollama integration. Using other models would require modifying the agent code.
It can list security groups, list S3 buckets, and analyze VPC connections (peering, endpoints, transit gateways, route tables, network ACLs). All operations use boto3 with the configured AWS credentials.
Yes, it is licensed under the MIT License (described as “Free for all!”).
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