What prerequisites are needed to run Ceph MCP Server?
Python 3.11 or higher, the UV package manager, access to a Ceph cluster with Manager API enabled, and valid Ceph credentials with appropriate permissions.
@rajmohanram
基本情報
Ceph 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": {
"ceph-mcp-server": {
"command": "uv",
"args": [
"init",
"--python",
"3.11"
]
}
}
}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。
A Model Context Protocol (MCP) server that enables AI assistants to interact with Ceph storage clusters through natural language. It bridges AI tools and Ceph infrastructure, making storage management more accessible and intuitive.
Clone the repository, set up a UV project with Python 3.11, add dependencies (mcp httpx pydantic python-dotenv structlog asyncio-mqtt), configure a .env file with Ceph Manager credentials, then start the server with uv run python -m ceph_mcp.server. The server provides four MCP tools for health monitoring, host status, and detailed analysis.
Python 3.11 or higher, the UV package manager, access to a Ceph cluster with Manager API enabled, and valid Ceph credentials with appropriate permissions.
Set `CEPH_SSL_VERIFY=true` and optionally provide a custom certificate path via `CEPH_CERT_PATH`. For development, you can set `CEPH_SSL_VERIFY=false`.
Four tools: `get_cluster_health`, `get_host_status`, `get_health_details`, and `get_host_details` (which requires a hostname parameter).
Enable debug logging by setting `LOG_LEVEL=DEBUG` before starting the server. Common issues include connection refused, authentication failures, SSL certificate errors, and permission denied problems.
Credentials are set via environment variables in the `.env` file (never commit them to version control). In production, use a dedicated Ceph user with minimal required permissions and always enable SSL verification.
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