Cisco Catalyst Sdwan Mcp Server
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About Cisco Catalyst Sdwan Mcp Server
A comprehensive Model Context Protocol (MCP) server for monitoring and managing SD-WAN devices through REST API endpoints. This server exposes SD-WAN device monitoring and management functionality that can be integrated with Cursor and other MCP-compatible tools.
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"sdwan-mcp-server": {
"command": "python",
"args": [
"/path/to/your/project/main.py"
],
"env": {
"PYTHONPATH": "/path/to/your/project"
}
}
}
}Tools
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Overview
What is Cisco Catalyst Sdwan Mcp Server?
A comprehensive MCP server for monitoring and managing SD-WAN devices through REST API endpoints. It exposes SD-WAN device monitoring and management functionality that can be integrated with Cursor and other MCP-compatible tools.
How to use Cisco Catalyst Sdwan Mcp Server?
Install the server (Python 3.8+ required), configure it with SD-WAN management server credentials, then invoke MCP tools such as get_fabric_devices, authenticate, or generate_network_report from a compatible client like Cursor IDE.
Key features of Cisco Catalyst Sdwan Mcp Server
- Device management: list and monitor SD-WAN fabric devices
- Statistics collection: interface, device counters, tunnel statistics
- BFD monitoring: state and session tracking
- Configuration access: device configuration retrieval
- Advanced analytics: health summaries, traffic analysis, alerting
- Session management with automatic authentication
Use cases of Cisco Catalyst Sdwan Mcp Server
- Monitor SD-WAN fabric device status and health
- Analyze network traffic and interface utilization
- Generate comprehensive SD-WAN network status reports
- Filter devices by operational status for quick troubleshooting
- Check BFD session health across all devices
FAQ from Cisco Catalyst Sdwan Mcp Server
Is authentication required?
Yes, an authenticate tool is provided to authenticate with the SD-WAN management server, and a get_session_status tool to check current session status.
What tools are available for device monitoring?
Basic monitoring tools include get_fabric_devices, get_device_monitor, get_device_counters, get_interface_statistics, get_device_config, get_bfd_state, get_bfd_sessions, and get_tunnel_statistics.
What advanced analytics are provided?
Advanced tools include health summary, device status filtering, top interfaces by traffic, BFD session health check, network report generation, device alerts, interface utilization monitoring, and network topology retrieval.
What are the runtime requirements?
Python 3.8 or higher and MCP 1.0+ are required.
Can this server integrate with Cursor IDE?
Yes, it explicitly supports seamless integration with Cursor IDE and other MCP-compatible tools.
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