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.
AlicenseAqualityCmaintenanceProtects AI agents from prompt injection and destructive actions while enabling self-improving prompts through a security pipeline.1050 npmMITWhy 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?
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?
Generate Docker Compose stacks that include Celery as a task queue service, with healthchecks and resource limits.
AlicenseAqualityCmaintenanceGenerates, audits, and tunes Docker Compose stacks inside Claude Code.62 npmMITWhy this server?
Detects Celery queue usage for background job analysis.
AlicenseAqualityAmaintenanceArchitecture diagram with concurrency capacity and bottleneck estimates from any codebase.224 PyPIMITWhy 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?
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.
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.213MITWhy this server?
Provides tools for monitoring and managing Celery task queues, including retrieving status, queue details, and purging queues or tasks.
AlicenseCqualityBmaintenanceA Model Context Protocol (MCP) server that provides comprehensive access to DefectDojo vulnerability management platform.78MITWhy this server?
Detects Celery task decorators and integrates task handlers into the code graph for traceability.
AlicenseNot gradedqualityCmaintenanceMulti-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.17MIT