Identify queue backlogs and balance task distribution by fetching real-time lengths of all Celery queues.
MIT
205,112 tools. Last updated 2026-06-15 04:06
"Celery" matching MCP tools:
- 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
- Find every caller of a function in a repository by combining AST-based call graph analysis with fallback regex for dynamic dispatch patterns.MIT
- Retrieve official step-by-step instructions to instrument Scout APM for your framework, supporting web, background jobs, and database libraries.MIT
- Verify the health status of the Flower instance to ensure the task queue monitoring service is operational.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.Last updated3MIT
- AlicenseBqualityBmaintenanceThis 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.Last updated213MIT
- Get Celery queue names, pending task counts, and the age of the oldest pending task to assess backlog.MIT
- 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
- Send a Celery task directly without requiring prior registration on the worker. Specify task name, arguments, and options to trigger execution.MIT
- Reduce the number of worker processes in a Celery worker pool by a specified count to scale down resources or control load.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
- 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
- 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
- Apply a Celery task to run asynchronously. Returns the task ID to monitor execution and retrieve results.MIT
- Retrieve the result of a Celery task by providing its task ID, with an optional timeout to wait for completion. Monitors task outcome in real-time.MIT