Overview
What is ops-mcp-server?
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.
How to use ops-mcp-server?
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.
Key features of ops-mcp-server
- Real-time CPU, memory, disk, and process monitoring
- Docker container, image, and volume management
- Multi-vendor network device support (Cisco, Huawei, H3C)
- Security vulnerability scans (SSH login, firewall)
- Log analysis and configuration backup
- Extensible plugin architecture with batch operations
Use cases of ops-mcp-server
- Automated server health monitoring and alerting
- Intelligent anomaly detection and root cause analysis
- Natural language troubleshooting of infrastructure issues
- Centralized management of Docker containers across hosts
- Compliance audits through security vulnerability scanning
FAQ from ops-mcp-server
What runtime dependencies are required?
Python 3.10+ and the uv package manager. For the interactive client, additional packages (openai, rich) are needed.
What deployment transports are supported?
SSE (remote) via uv or Docker Compose, and stdio (local MCP configuration) are supported.
What is the project’s license?
ops-mcp-server is released under the MIT License.
Does it manage network devices from different vendors?
Yes, it supports multi-vendor network devices including Cisco, Huawei, and H3C.
Can I interact with ops-mcp-server using natural language?
Yes, an interactive client (client.py) allows natural language interaction with MCP services.
