io.github.Musaraf-M/sentinal-mcp
Redis health, BullMQ queue monitoring, memory analysis, and slow query diagnostics
Open source Open in the app JSON README (API)
About
Redis health, BullMQ queue monitoring, memory analysis, and slow query diagnostics
Details
- Kind
- MCP servers
- Topic
- Government & public data
- Publisher
- musaraf-m
- Origin
- official
- Category
- ferramentas
- Transport
- local
- Version
- 1.0.0
- Stars
- 2
- Open pull requests
- 1
- Last push
- 2026-05-06T17:44:04Z
- Repository state
- ativo
- Language
- TypeScript
- License
- MIT
- Added
- 2026-08-29 03:02:07
- Updated
- 2026-08-29 03:02:07
- Origin id
io.github.Musaraf-M/sentinal-mcp
README
# Sentinal
[](https://www.npmjs.com/package/@md-musaraf/sentinal-mcp)
[](https://glama.ai/mcp/servers/Musaraf-M/sentinal)
[](https://opensource.org/licenses/MIT)
Infrastructure monitoring tools for AI assistants. One codebase, multiple platforms.
Ask your AI assistant to check Redis health, inspect BullMQ queues, diagnose slow queries — all through natural conversation.
## Platforms
| Platform | Distribution | Install |
|---|---|---|
| **Claude, Cursor, Copilot, Cline, Warp, Gemini CLI** | MCP Server (npm) | `npx @md-musaraf/sentinal-mcp` |
| **OpenClaw** | ClawHub | `clawhub install sentinal-redis` |
| **ChatGPT** | GPT Store | Coming soon |
| **Raycast** | Raycast Store | Coming soon |
## Modules
| Module | Status | What it monitors |
|---|---|---|
| **Redis** | ✅ Ready | Server health, memory, slow queries, clients, BullMQ queues |
| **Docker** | 🔜 Planned | Container health, logs, resource usage |
| **Kubernetes** | 🔜 Planned | Pod status, restart counts, resource limits |
| **GitHub Actions** | 🔜 Planned | Workflow runs, failures, re-triggers |
| **Vercel** | 🔜 Planned | Deployment status, rollbacks |
## MCP Server
Works with any AI tool that supports [Model Context Protocol](https://modelcontextprotocol.io) — Claude Desktop, Claude Code, Cursor, GitHub Copilot, Cline, Warp, Gemini CLI, Continue, and more.
### Install
Add to your MCP client config:
```json
{
"mcpServers": {
"sentinal": {
"command": "npx",
"args": ["@md-musaraf/sentinal-mcp"],
"env": {
"REDIS_URL": "redis://localhost:6379"
}
}
}
}
```
### Tools
| Tool | Description |
|---|---|
| `redis_ping` | Test connectivity to a Redis instance |
| `redis_health` | Full health report — server, memory, clients, slow queries, BullMQ queues |
| `redis_memory` | Deep memory analysis with fragmentation diagnostics |
| `redis_slowlog` | Inspect slow queries |
| `bullmq_list` | List all BullMQ queues with job counts per state |
| `bullmq_failed_jobs` | Inspect failed jobs with payloads and stack traces |
| `bullmq_job_details` | Full details of a specific job |
| `bullmq_stale_jobs` | Find jobs stuck in active state |
### Example Usage
Just ask your AI assistant:
- *"Check my Redis health"*
- *"Are any BullMQ queues backing up?"*
- *"Show me failed jobs in the email-queue"*
- *"Why is Redis slow?"*
- *"How much memory is Redis using?"*
- *"Find stale jobs in the payment-queue"*
## OpenClaw Skills
Install individual skills from [ClawHub](https://clawhub.ai):
```bash
clawhub install sentinal-redis
```
The skill teaches your OpenClaw assistant to monitor Redis and BullMQ using `redis-cli`. No code required — just install and ask.
## Project Structure
```
sentinal/
├── core/ # Shared knowledge and scripts
│ ├── redis/
│ ├── docker/
│ └── kubernetes/
├── platforms/
│ ├── mcp/ # MCP Server → npm
│ ├── openclaw/ # OpenClaw Skills → ClawHub
│ ├── chatgpt/ # Custom GPT → GPT Store
│ └── raycast/ # Extension → Raycast Store
└── scripts/ # Build and publish automation
```
## Development
### Prerequisites
- Node.js 22+
- pnpm 10+
### Setup
```bash
git clone https://github.com/Musaraf-M/sentinal.git
cd sentinal
pnpm install
```
### Build
```bash
pnpm build
```
### Run MCP server locally
```bash
node platforms/mcp/dist/index.js
```
## Contributing
Contributions are welcome! Areas where help is needed:
- New monitoring modules (Docker, Kubernetes, GitHub Actions)
- New platform adapters
- Bug fixes and improvements
## License
MIT