# cisco-network-diagrams-mcp-server

> cisco-network-diagrams-mcp-server — guipetav-cisco-network-diagrams-mcp-server. Use this tool when you need to create accurate and detailed Cisco network diagrams, as it enables searching and retrieving official Cisco network diagram icons as RGB PNG images. It solves problems related to network visualization and documentation by providing metadata and category listing tools for building topology diagrams. Ideal for use cases where standardized and precise network representations are required, such as network architecture planning and documentation.

Canonical page: https://skillsregistry.net/skills/guipetav-cisco-network-diagrams-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/guipetav-cisco-network-diagrams-mcp-server

## Description

Enables LLMs to search and retrieve official Cisco network diagram icons as RGB PNG images, with metadata and category listing tools for building topology diagrams.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/do2hspqnui)
- **Repository:** <https://github.com/GUIPETAV/cisco-network-diagrams-mcp-server>

## 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": "guipetav-cisco-network-diagrams-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/guipetav-cisco-network-diagrams-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/guipetav-cisco-network-diagrams-mcp-server/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