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Sentinal MCP Server

@Musaraf-M

リポジトリ

基本情報

カテゴリ

その他

トランスポート

stdio

作者

Musaraf-M

投稿者

Mohammed Musaraf

Sentinal MCP Server について

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

Sentinal MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "sentinal": {
      "command": "npx",
      "args": [
        "@md-musaraf/sentinal-mcp"
      ],
      "env": {
        "REDIS_URL": "redis://localhost:6379"
      }
    }
  }
}

Sentinal MCP Server のツール

8

Test connectivity to a Redis instance

Comprehensive Redis health report — server info, memory, clients, slow queries, and BullMQ queue depths

Analyze Redis memory usage — used, peak, fragmentation, big keys, and memory doctor recommendations

Show Redis slow queries — find commands that took too long to execute

List all BullMQ queues with job counts per state (waiting, active, delayed, failed, completed)

Inspect failed jobs in a BullMQ queue — shows job ID, name, error reason, attempts, and stack trace

Get full details of a specific BullMQ job — payload, status, timestamps, error info

Find stale active jobs in a BullMQ queue — jobs stuck in active state longer than expected

概要

What is Sentinal Mcp?

Sentinal Mcp is an MCP server for infrastructure monitoring that works with any MCP-compatible AI assistant such as Claude, Cursor, GitHub Copilot, Cline, Warp, and Gemini CLI. It enables natural‑language monitoring of Redis health, BullMQ queues, memory usage, and slow queries.

How to use Sentinal Mcp?

Add the server to your MCP client configuration using npx @md-musaraf/sentinal-mcp and set the REDIS_URL environment variable (default redis://localhost:6379). Then ask your AI assistant questions like “Check my Redis health” or “Show me failed jobs in the email‑queue.” Each tool also accepts a redis_url parameter to override the default per call.

Key features of Sentinal Mcp

  • Redis connectivity check via redis_ping
  • Full health report with memory, clients, slow queries, and BullMQ queues
  • Deep memory analysis with fragmentation diagnostics
  • Slow query inspection with redis_slowlog
  • List and inspect BullMQ queues with job counts per state
  • Examine failed jobs with payloads and stack traces

Use cases of Sentinal Mcp

  • Quickly diagnose Redis health issues through conversational AI
  • Monitor BullMQ queue backlogs and stalled jobs in real time
  • Investigate memory fragmentation or high memory usage in Redis
  • Inspect slow queries to optimize database performance
  • Identify failed or stuck jobs in production queues

よくある質問

1

What AI assistants does Sentinal Mcp work with?

It works with Claude Desktop, Claude Code, Cursor, GitHub Copilot, Cline, Warp, Gemini CLI, and any MCP‑compatible AI assistant.

2

How do I configure the Redis connection?

Set the `REDIS_URL` environment variable (default `redis://localhost:6379`). Each tool also accepts an optional `redis_url` parameter to override the default per call.

3

What tools does Sentinal Mcp provide?

For Redis: `redis_ping`, `redis_health`, `redis_memory`, `redis_slowlog`. For BullMQ: `bullmq_list`, `bullmq_failed_jobs`, `bullmq_job_details`, `bullmq_stale_jobs`.

4

What are the upcoming modules?

Future modules include Docker (container health, logs, resource usage), Kubernetes (pod status, restart counts, resource limits), and GitHub Actions (workflow runs, failures, re‑triggers).

5

Where can I report issues or find the source code?

The GitHub repository is at [https://github.com/Musaraf-M/sentinal](https://github.com/Musaraf-M/sentinal); issues can be reported on the same repo’s issues page.

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