What runtime dependencies are required?
Python 3.10+ and the `uv` package manager. For the interactive client, additional packages (`openai`, `rich`) are needed.
@Heht571
基本情報
服务器、网络设备巡检和运维MCP工具
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": {
"ops-mcp-server": {
"command": "uv",
"args": [
"--directory",
"YOUR_PROJECT_PATH_HERE",
"run",
"server_monitor.py"
],
"env": {}
}
}
}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。
ops-mcp-server is an AI-driven IT operations platform that fuses LLMs and MCP architecture to enable intelligent monitoring, anomaly detection, and natural language interaction with IT infrastructure, with enterprise-grade security and scalability.
Install Python 3.10+ and the uv package manager, then clone the project, create a virtual environment, and install dependencies. Deploy via SSE remote mode (uv or Docker Compose) or configure as a local stdio MCP server. An interactive client is available for natural language queries.
Python 3.10+ and the `uv` package manager. For the interactive client, additional packages (`openai`, `rich`) are needed.
SSE (remote) via uv or Docker Compose, and stdio (local MCP configuration) are supported.
ops-mcp-server is released under the MIT License.
Yes, it supports multi-vendor network devices including Cisco, Huawei, and H3C.
Yes, an interactive client (`client.py`) allows natural language interaction with MCP services.
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