# network-mcp

> Use this tool when you need to manage and interact with multi-vendor network devices, such as Cisco, Juniper, and Nokia, for tasks like configuration, monitoring, and discovery. It provides a unified interface using SSH, NETCONF, and SNMP protocols, allowing for natural language control over network devices. Ideal for use cases like configuration management, health checks, and topology discovery, enabling efficient network management and automation.

Canonical page: https://skillsregistry.net/skills/e-conners-lab-mcp-demo-lab  
JSON: https://api.skillsregistry.net/v1/skills/e-conners-lab-mcp-demo-lab

## Description

Provides AI assistants with direct access to multi-vendor network devices for tasks like configuration management, health checks, and topology discovery through 35 specialized tools. It enables natural language control over platforms including Cisco, Juniper, and Nokia using SSH, NETCONF, and SNMP protocols.

## Trust

- **Trust score (0–1):** 0.76
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/k2rayuf6jr)
- **Repository:** <https://github.com/E-Conners-Lab/MCP-DEMO-LAB>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "e-conners-lab-mcp-demo-lab"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/e-conners-lab-mcp-demo-lab` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/e-conners-lab-mcp-demo-lab/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt