What runtime dependencies are required?
Python 3.10+ and the `uv` package manager. For the interactive client, additional packages (`openai`, `rich`) are needed.
@Heht571
Basic information
服务器、网络设备巡检和运维MCP工具
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"ops-mcp-server": {
"command": "uv",
"args": [
"--directory",
"YOUR_PROJECT_PATH_HERE",
"run",
"server_monitor.py"
],
"env": {}
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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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