queue-inspector-mcp
An MCP server that lets an agent inspect and operate Redis-backed job queues, supporting Asynq and BullMQ backends with per-state counts, job details, and state transitions.
README
queue-inspector-mcp
An MCP server that lets an agent inspect and operate Redis-backed job queues. It speaks to two backends today, Asynq (Go) and BullMQ (Node), reporting per-state counts, individual job detail, and moving jobs between states.
Architecture
---
config:
look: handDrawn
---
flowchart LR
A["AI agent"] -->|"MCP · stdio"| M["queue-inspector-mcp"]
M --> B1["Asynq adapter<br/>protobuf msg"]
M --> B2["BullMQ adapter<br/>state by zset"]
B1 -->|ioredis| R[("Redis")]
B2 -->|ioredis| R
M -.->|"--read-only<br/>drops mutating tools"| G{{"prod-safe"}}
The server speaks MCP over stdio to the agent and talks to Redis through per-backend adapters that understand each library's on-disk layout — Asynq's protobuf task messages and BullMQ's state-by-membership sorted sets — instead of treating Redis as a bag of keys.
Why
When a queue misbehaves in production, the useful questions are about jobs, not keys: how many tasks are stuck in retry, what error a specific job failed with, how many attempts it has left, whether a dead job can be requeued. A plain Redis MCP server can only show you keys and raw values; it does not know that an Asynq task message is protobuf, that a BullMQ job's state is decided by which sorted set it sits in, or how either library moves a job back to the front of the line. This server encodes that knowledge so an agent can reason about queue state and take safe, state-aware actions.
Install
Requires Node.js 18 or newer and a reachable Redis.
npm install -g queue-inspector-mcp
# or run without installing:
npx queue-inspector-mcp
Configure
The server talks MCP over stdio, so it works with any MCP client. Point your
client at the queue-inspector-mcp binary and set REDIS_URL.
Claude Desktop (claude_desktop_config.json):
{
"mcpServers": {
"queues": {
"command": "npx",
"args": ["-y", "queue-inspector-mcp"],
"env": { "REDIS_URL": "redis://localhost:6379" }
}
}
}
Claude Code (project .mcp.json, or claude mcp add):
{
"mcpServers": {
"queues": {
"command": "npx",
"args": ["-y", "queue-inspector-mcp"],
"env": { "REDIS_URL": "redis://localhost:6379", "QUEUE_INSPECTOR_READ_ONLY": "1" }
}
}
}
Configuration
| Variable | Default | Purpose |
|---|---|---|
REDIS_URL |
redis://localhost:6379 |
Redis connection string. Include a database number, e.g. redis://localhost:6379/2. |
ASYNQ_PREFIX |
asynq |
Key prefix Asynq was configured with. |
BULL_PREFIX |
bull |
Key prefix BullMQ was configured with. |
QUEUE_INSPECTOR_BACKENDS |
asynq,bullmq |
Restrict which backends are scanned. |
QUEUE_INSPECTOR_READ_ONLY |
unset | Set to 1 (or pass --read-only) to omit the mutating tools. |
Tools
| Tool | Mutating | Behavior |
|---|---|---|
list_queues |
no | List every detected queue, tagged with its backend. |
queue_stats |
no | Count jobs per state for a queue, using the backend's own state names. |
list_jobs |
no | Page through jobs in one state; returns id, type, attempts, and a truncated last error. |
get_job |
no | Full detail for one job: payload, attempts, retry ceiling, last error, timestamps. |
retry_job |
yes | Move a failed or dead job back to pending/wait so it runs again. |
delete_job |
yes | Permanently delete a job. Active jobs are refused. |
When a queue name is unique across the enabled backends, the backend argument
is optional; the server resolves it. If the same name exists in both backends,
pass backend explicitly.
Read-only mode
With --read-only or QUEUE_INSPECTOR_READ_ONLY=1, the server never registers
retry_job or delete_job. The mutating tools are absent from tools/list
entirely, so a client cannot call them by mistake. This is the recommended
configuration for pointing an agent at a production database.
Backend state names
The two libraries model job lifecycles differently, so this server does not invent a shared vocabulary. It reports each backend's own state names, and each state maps to a specific Redis structure.
A job moves through these states over its lifetime (Asynq shown):
---
config:
look: handDrawn
---
stateDiagram-v2
[*] --> pending: enqueue
pending --> active: worker picks up
active --> completed: success
active --> retry: handler error
retry --> active: backoff elapsed
retry --> archived: retries exhausted
archived --> pending: retry_job
completed --> [*]
Asynq:
| State | Meaning | Redis structure |
|---|---|---|
pending |
Ready to run, waiting for a worker | list asynq:{q}:pending |
active |
Currently being processed | list asynq:{q}:active |
scheduled |
Enqueued for a future time | zset asynq:{q}:scheduled |
retry |
Failed, waiting to be retried | zset asynq:{q}:retry |
archived |
Retries exhausted (the "dead" state) | zset asynq:{q}:archived |
completed |
Finished, kept for its retention window | zset asynq:{q}:completed |
BullMQ:
| State | Meaning | Redis structure |
|---|---|---|
waiting |
Ready to run | list bull:q:wait |
active |
Currently being processed | list bull:q:active |
delayed |
Scheduled for a future time | zset bull:q:delayed |
prioritized |
Waiting, ordered by priority | zset bull:q:prioritized |
waiting-children |
Blocked on child jobs (flows) | zset bull:q:waiting-children |
paused |
Held while the queue is paused | list bull:q:paused |
completed |
Finished successfully | zset bull:q:completed |
failed |
Failed after exhausting attempts | zset bull:q:failed |
Asynq's archived is what most people mean by a "dead" job. list_jobs returns
Asynq's terminal sets in Redis (score) order and BullMQ's completed/failed
sets most-recent-first.
What this doesn't do
- Only Asynq and BullMQ are supported. Sidekiq, Celery, RQ and others are not.
- No web UI. This is an MCP server for programmatic use; it is not a dashboard.
- No streaming or watch. Each tool call is a point-in-time read; there is no subscription to queue events.
retry_jobanddelete_jobfaithfully replicate each library's own mechanism rather than reimplementing it. Retry runs Asynq'sInspector.RunTaskscript and BullMQ'sJob.retry(reprocessJob) script; delete runs Asynq'sInspector.DeleteTaskscript and BullMQ'sJob.remove(removeJob) script. As a result the semantics match the libraries: retrying a BullMQ job applies only tofailed/completedjobs and does not resetattemptsMade(matchingJob.retry()); neither backend can retry or delete anactivejob.delete_jobremoves a single BullMQ job and does not cascade into a flow's children.- Asynq group aggregation (the
aggregatingstate) is not surfaced in this release.
License
MIT © Yusuf İhsan Görgel
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