Get Celery queue names, pending task counts, and the age of the oldest pending task to assess backlog.
MIT
458,158 tools. Updated 2026-08-14 23:05
"Celery" matching MCP tools:
- Identify queue backlogs and balance task distribution by fetching real-time lengths of all Celery queues.MIT
- Shut down a Celery worker by its name to stop processing tasks and release system resources.MIT
- Retrieve a list of all Celery workers with options to refresh, filter by name, or check status.MIT
- Retrieve official step-by-step instructions to instrument Scout APM for your framework, supporting web, background jobs, and database libraries.MIT
- Find every caller of a function in a repository. Searches AST call graph first, then falls back to pattern matching for dynamic dispatches like Celery or Flask routes.MIT
Matching MCP Servers
- Alicense-qualityDmaintenanceEnables interaction with Celery distributed task queues through MCP tools. Supports task management, monitoring worker statistics, and controlling asynchronous job execution through natural language.3MIT
- AlicenseBqualityCmaintenanceThis MCP server provides AI assistants with full control over Celery task queues by exposing all Celery Flower REST API endpoints as tools. It enables monitoring workers, managing tasks, inspecting queues, and controlling worker pools in real-time through natural language.213MIT
- Verify the health status of the Flower instance to ensure the task queue monitoring service is operational.MIT
- Retrieve Celery worker statistics to monitor scoring engine background tasks. Provides white team admins with essential performance data for operational oversight.
- Retrieve a list of all registered task types in your Celery setup to understand available tasks for monitoring and management.MIT
- Execute a Celery task synchronously and retrieve its result. Requires task name; optional args, kwargs, and options.MIT
- Set the minimum and maximum pool size for a Celery worker to autoscale its concurrency based on workload.MIT
- Retrieve Celery queue statistics to monitor background task processing. For white team administrators, it provides insights to diagnose queue performance issues in the scoring engine.
- Reduce the number of worker processes in a Celery worker pool by a specified count to scale down resources or control load.MIT
- Send a Celery task directly without requiring prior registration on the worker. Specify task name, arguments, and options to trigger execution.MIT
- Stop a specific worker from consuming tasks from a designated queue to control task distribution and manage worker load in real-time.MIT
- Revoke a Celery task by its task ID and optionally terminate it if running, with configurable signal (default SIGTERM).MIT
- Set a new rate limit for a task on a worker to regulate task execution frequency and prevent overload.MIT
- Add a specified number of processes to a Celery worker pool to increase capacity for handling more tasks.MIT
- Restart a worker's process pool to refresh all pool processes, clear stale state, and apply configuration changes. Ideal for maintenance or troubleshooting worker issues.MIT
- Retrieve detailed information about a Celery task by providing its task ID. This tool returns complete task details including state, result, traceback, and metadata for monitoring and debugging.MIT