# cisco-sdwan-mcp

> cisco-sdwan-mcp — pcdamasceno-autonetops-cisco-sdwan-mcp. Use this tool when you need to monitor and query Cisco Catalyst SD-WAN infrastructure, solving problems related to network visibility and troubleshooting. It provides read-only access to fabric inventory, device health, alarms, and path quality data from vManage, with optional configuration-changing capabilities. Ideal for use cases requiring real-time network insights and automation, with a secure interface that ensures explicit human confirmation for any configuration changes.

Canonical page: https://skillsregistry.net/skills/pcdamasceno-autonetops-cisco-sdwan-mcp  
JSON: https://api.skillsregistry.net/v1/skills/pcdamasceno-autonetops-cisco-sdwan-mcp

## Description

An MCP server for Cisco Catalyst SD-WAN that lets LLM clients query fabric inventory, device health, alarms, and path quality from vManage. It is read-only by default, with configuration-changing tools available only when explicitly enabled and requiring human confirmation.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dv9axl4us0)
- **Repository:** <https://github.com/pcDamasceno/cisco-sdwan-mcp>

## 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": "pcdamasceno-autonetops-cisco-sdwan-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pcdamasceno-autonetops-cisco-sdwan-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pcdamasceno-autonetops-cisco-sdwan-mcp/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