A
licenseA
qualityC
maintenanceProtects AI agents from prompt injection and destructive actions while enabling self-improving prompts through a security pipeline.
10
62 npm
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?
Integration with Celery task queues to process messages through the GSEP security pipeline, enabling asynchronous agent protection.
Why this server?
Extracts Celery task definitions from Python code.
AlicenseAqualityCmaintenanceExtracts deterministic architecture maps from codebases for AI agents, enabling queries about blast radius, routes, security findings, and production readiness without sending code anywhere.6MITWhy this server?
Provides read-only tools for debugging a running Celery deployment, including listing workers and their pool/concurrency/uptime/prefetch/task stats, checking queue depths, and identifying which workers consume each queue. Supports diagnosing stuck tasks and routing/consumer issues.
AlicenseBqualityCmaintenanceEnables AI agents to inspect a live Celery deployment over RabbitMQ or Redis — checking which workers are responding, their pools, concurrency and consumed queues, and how many messages are backed up in each queue — so agents can diagnose stuck or unrouted tasks. Read-only by default, with broker credentials masked in all output.232 PyPIMITWhy this server?
Uses Celery for distributed asynchronous task processing and background job management
AlicenseAqualityDmaintenanceAn 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.24MITWhy 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.214MITWhy this server?
Provides tools to monitor Celery queue status, including queue names, pending count, and oldest task.
AlicenseAqualityBmaintenanceFastMCP server with read-only tools to monitor Redis — queue depths, Celery queue status, connected clients, server/memory info, and per-database key counts53MITWhy this server?
Detects Celery queue usage for background job analysis.
AlicenseAqualityAmaintenanceArchitecture diagram with concurrency capacity and bottleneck estimates from any codebase.2188 PyPIMITWhy this server?
Instruments Celery to record background job attempts, failures, discards, duration, queue latency, and running tasks per task.
AlicenseAqualityAmaintenanceLets your coding agent check whether a production deploy actually worked. It waits for DeployAngel's verdict on a release (cleared, failed, or not cleared yet) and reads the evidence when one fails, including jobs that quietly stopped running.6159 PyPIMITWhy this server?
Generate Docker Compose stacks that include Celery as a task queue service, with healthchecks and resource limits.
AlicenseAqualityDmaintenanceGenerates, audits, and tunes Docker Compose stacks inside Claude Code.66 npmMIT