# Sentinal MCP

> Use this tool when you need to monitor and diagnose issues with Redis and BullMQ performance, as it provides health checks, queue monitoring, memory analysis, and slow query diagnostics to identify and resolve bottlenecks. It takes system metrics and logs as inputs and outputs detailed reports and alerts to facilitate troubleshooting. Ideal for use in production environments where optimal database and queue performance is critical.

Canonical page: https://skillsregistry.net/skills/musaraf-m-sentinal  
JSON: https://api.skillsregistry.net/v1/skills/musaraf-m-sentinal

## Description

Redis health, BullMQ queue monitoring, memory analysis, and slow query diagnostics

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/a4scbhyejr)
- **Repository:** <https://github.com/Musaraf-M/sentinal>

## 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": "musaraf-m-sentinal"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/musaraf-m-sentinal` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/musaraf-m-sentinal/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