Skip to main content
Glama
Yusufihsangorgel

queue-inspector-mcp

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
REDIS_URLNoRedis connection string. Default: redis://localhost:6379redis://localhost:6379
BULL_PREFIXNoKey prefix BullMQ was configured with. Default: bullbull
ASYNQ_PREFIXNoKey prefix Asynq was configured with. Default: asynqasynq
QUEUE_INSPECTOR_BACKENDSNoRestrict which backends are scanned. Default: asynq,bullmqasynq,bullmq
QUEUE_INSPECTOR_READ_ONLYNoSet to '1' to omit mutating tools. Default: unset

Capabilities

Features and capabilities supported by this server

CapabilityDetails
tools
{
  "listChanged": true
}

Tools

Functions exposed to the LLM to take actions

NameDescription
list_queuesA

List every queue the inspector can see, tagged with its backend (asynq or bullmq).

queue_statsA

Report the number of jobs in each state for a queue, using the backend's own state names.

list_jobsA

List jobs in a given state (paged). Returns id, type, attempts and a truncated last error. Valid states depend on the backend: asynq uses pending/active/scheduled/retry/archived/completed; bullmq uses waiting/active/delayed/prioritized/waiting-children/paused/completed/failed.

get_jobA

Fetch full detail for one job: payload, attempts, retry ceiling, last error and timestamps. Binary payloads are returned base64-encoded and flagged.

retry_jobA

Move a failed or dead job back to the pending/wait queue so it runs again. Faithfully replicates the backend's own retry (asynq Inspector.RunTask, bullmq Job.retry).

delete_jobA

Permanently delete a job from a queue. Active jobs cannot be deleted. Faithfully replicates the backend's own delete (asynq Inspector.DeleteTask, bullmq Job.remove).

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Yusufihsangorgel/queue-inspector-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server