- Cisco Catalyst Sdwan Mcp Server
Cisco Catalyst Sdwan Mcp Server
What is Cisco Catalyst SD-WAN MCP Server?
Cisco Catalyst SD-WAN MCP Server is a comprehensive Model Context Protocol (MCP) server designed for monitoring and managing SD-WAN devices through REST API endpoints. It provides functionalities that can be integrated with Cursor and other MCP-compatible tools.
How to use Cisco Catalyst SD-WAN MCP Server?
To use the server, set up the environment by configuring the Python path and run the main script. You can authenticate with the SD-WAN management server and utilize various monitoring and management tools provided by the server.
Key features of Cisco Catalyst SD-WAN MCP Server?
- Device Management: List and monitor SD-WAN fabric devices
- Statistics Collection: Interface statistics, device counters, tunnel statistics
- BFD Monitoring: Monitor Bidirectional Forwarding Detection state and sessions
- Configuration Access: Retrieve device configurations
- Advanced Analytics: Health summaries, traffic analysis, and alerting
- Session Management: Automatic authentication and session handling
- Async Support: Full async/await support for non-blocking operations
- Cursor Integration: Seamless integration with Cursor IDE
Use cases of Cisco Catalyst SD-WAN MCP Server?
- Monitoring the health and performance of SD-WAN devices.
- Managing configurations and retrieving statistics for SD-WAN networks.
- Integrating with other tools for enhanced SD-WAN management.
FAQ from Cisco Catalyst SD-WAN MCP Server?
- What programming language is used for the server?
The server is built using Python and requires Python 3.8 or higher.
- Can I integrate this server with other tools?
Yes! The server is designed to integrate seamlessly with Cursor and other MCP-compatible tools.
- Is there support for asynchronous operations?
Yes! The server supports full async/await functionality for non-blocking operations.
Server Config
{
"mcpServers": {
"sdwan-mcp-server": {
"command": "python",
"args": [
"/path/to/your/project/main.py"
],
"env": {
"PYTHONPATH": "/path/to/your/project"
}
}
}
}