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licenseA
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maintenanceFastMCP server with read-only tools to monitor Redis — queue depths, Celery queue status, connected clients, server/memory info, and per-database key counts
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MIT
Best Celery MCP Servers
Celery is a distributed task queue system for Python, focused on real-time processing while also supporting task scheduling.
Why this server?
Provides tools to monitor Celery queue status, including queue names, pending count, and oldest task.
Why this server?
Uses Celery for distributed asynchronous task processing and background job management
AlicenseAqualityCmaintenanceAn enterprise-grade Model Context Protocol server for high-performance web analysis that discovers subpages, provides AI-based page summaries, and extracts structured content for RAG using FastMCP and FastAPI.Last updated23MITWhy this server?
Provides full control over Celery task queues and workers through the Flower monitoring interface, enabling AI assistants to monitor workers, manage tasks, inspect queues, and control worker pools in real-time.
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 updated213MITWhy this server?
Detects Celery task decorators and integrates task handlers into the code graph for traceability.
Alicense-qualityAmaintenanceMulti-language code-graph MCP server with 18 tools for structural code queries — find_symbol, callers, callees, blast_radius, dead_code, and cross-stack dataflow_trace from HTTP request through service layers to SQL. Tree-sitter parsing for Python, TypeScript, JavaScript, and Go; local-first, no API key required.Last updated9MITWhy this server?
Includes documentation on Celery task management best practices within Django applications, as referenced in the generated documentation structure.
Alicense-qualityDmaintenanceProvides AI assistants easy access to Django best practices by splitting comprehensive styleguide documentation into AI-friendly sections accessible through the Model Context Protocol.Last updated1MITWhy this server?
Provides tools for managing distributed task queues, including sending tasks, monitoring task status, retrieving worker statistics, and controlling task execution (revoke/cancel tasks).
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 updated3MITWhy this server?
Enables creation and management of background jobs and task queues using Celery
Flicense-qualityDmaintenanceEnables Claude to function as a full-stack software engineer with comprehensive development capabilities including project creation, database management, frontend/backend development, testing, deployment, and DevOps operations across multiple frameworks and technologies.Last updatedWhy this server?
Provides task scheduling and execution capabilities using Celery, including immediate asynchronous task execution, scheduled task execution with ETA, task status monitoring, and task cancellation.
Flicense-quality-maintenanceEnables asynchronous task execution and scheduling using RabbitMQ, Celery, and Redis/SQLite. Supports immediate background task execution, scheduled tasks with ISO 8601 timestamps, task status monitoring, cancellation, and completion notifications.Last updated