Docker-based MCP server suite for AIOps - Cisco Meraki, Catalyst Center, IOS XE, ISE, ThousandEyes, Splunk & NetBox. AI-ready with LibreChat integration.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"ISE-MCP-Server": {
"url": "http://localhost:8005/mcp",
"timeout": 60000,
"transport": "http"
},
"GitLab-MCP-Server": {
"url": "http://localhost:8009/mcp",
"timeout": 60000,
"transport": "http"
},
"IOS-XE-MCP-Server": {
"url": "http://localhost:8003/mcp",
"timeout": 60000,
"transport": "http"
},
"Meraki-MCP-Server": {
"url": "http://localhost:8000/mcp",
"timeout": 60000,
"transport": "http"
},
"NetBox-MCP-Server": {
"url": "http://localhost:8001/mcp",
"timeout": 60000,
"transport": "http"
},
"Splunk-MCP-Server": {
"url": "http://localhost:8006/mcp",
"timeout": 60000,
"transport": "http"
},
"ClickHouse-MCP-Server": {
"url": "http://localhost:8008/mcp",
"timeout": 60000,
"transport": "http"
},
"Prometheus-MCP-Server": {
"url": "http://localhost:8007/mcp",
"timeout": 60000,
"transport": "http"
},
"ThousandEyes-MCP-Server": {
"url": "http://localhost:8004/mcp",
"timeout": 60000,
"transport": "http"
},
"Catalyst-Center-MCP-Server": {
"url": "http://localhost:8002/mcp",
"timeout": 60000,
"transport": "http"
}
}
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📚 Example Code for Learning & Development > This is a demonstration project showcasing MCP server implementations for network management. Intended for educational purposes, testing, and development environments.
This server supports HTTP transport. Be the first to test it — help the community know if it works.
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No known CVEs.
No package registry to scan.
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📚 Example Code for Learning & Development
This is a demonstration project showcasing MCP server implementations for network management. Intended for educational purposes, testing, and development environments.
Docker-based MCP server suite for AIOps - enabling AI-driven network operations through Cisco Meraki, Catalyst Center, IOS XE, ISE, ThousandEyes, Splunk, NetBox & GitLab integration. AI-ready with LibreChat, Cursor, and other MCP clients for intelligent network management, automated troubleshooting, CI/CD orchestration, and operational insights.
AI-Powered Network Troubleshooting with LibreChat using Multiple MCP Servers

Watch how natural language queries automatically investigate and resolve network issues using both Catalyst Center MCP Server and IOS XE MCP Server. The AI assistant correlates data from management systems (Catalyst Center) with direct device access (IOS XE SSH) to identify root causes and provide comprehensive solutions.
This AIOps-focused Docker suite contains ten MCP servers enabling AI-driven network operations:
All servers are containerized with flexible deployment profiles, enabling AIOps workflows through natural language queries, automated troubleshooting, and intelligent network analytics via AI assistants.
Network administrators and DevOps teams face significant challenges in managing modern hybrid network infrastructure across cloud and on-premises environments. This solution addresses these challenges by providing: