# SuzieQ MCP

> Use this tool when you need to understand your network's behavior and troubleshoot issues. SuzieQ MCP provides network observability, helping engineers identify problems and optimize network performance. It takes network data as input and outputs actionable insights, making it ideal for use cases like network debugging, performance optimization, and fault detection.

Canonical page: https://skillsregistry.net/skills/povedaaqui-suzieq  
JSON: https://api.skillsregistry.net/v1/skills/povedaaqui-suzieq

## Description

A MCP implementation for SuzieQ, a network observability tool that helps network engineers understand their network's behavior.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/povedaaqui-suzieq)
- **Repository:** <https://github.com/povedaaqui/suzieq-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": "povedaaqui-suzieq"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/povedaaqui-suzieq` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/povedaaqui-suzieq/pull`

---
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