Google Antigravity Directory

The #1 directory for Google Antigravity prompts, rules, workflows & MCP servers. Optimized for Gemini 3 agentic development.

Resources

PromptsMCP ServersAntigravity RulesGEMINI.md GuideBest Practices

Company

Submit PromptAntigravityAI.directory

Popular Prompts

Next.js 14 App RouterReact TypeScriptTypeScript AdvancedFastAPI GuideDocker Best Practices

Legal

Privacy PolicyTerms of ServiceContact Us
Featured on FazierFeatured on WayfindioAntigravity AI - Featured on Startup FameFeatured on Wired BusinessFeatured on Twelve ToolsListed on Turbo0Featured on findly.toolsFeatured on Aura++That App ShowAI ToolzShinyLaunchMillion Dot HomepageSolver ToolsFeatured on FazierFeatured on WayfindioAntigravity AI - Featured on Startup FameFeatured on Wired BusinessFeatured on Twelve ToolsListed on Turbo0Featured on findly.toolsFeatured on Aura++That App ShowAI ToolzShinyLaunchMillion Dot HomepageSolver Tools

© 2026 Antigravity AI Directory. All rights reserved.

The #1 directory for Google Antigravity IDE

This website is not affiliated with, endorsed by, or associated with Google LLC. "Google" and "Gemini" are trademarks of Google LLC.

Antigravity AI Directory
PromptsMCPBest PracticesUse CasesLearn
Home
MCP Servers
Quirrel MCP
🐿️

Quirrel MCP MCP Server

Job queueing for serverless applications.

quirreljobsqueueserverless

About

## Quirrel MCP Server: Job Queue Scheduling The **Quirrel MCP Server** integrates Quirrel job queue into Google Antigravity, enabling scheduled and delayed job execution with a developer-friendly API for background task management. ### Why Quirrel MCP? - **Simple Scheduling**: Schedule jobs with natural syntax - delays, cron patterns, and one-time executions - **Reliable Delivery**: Guaranteed job delivery with automatic retries and dead letter handling - **Development-Friendly**: Local development mode with UI for job inspection and debugging - **Type-Safe**: Full TypeScript support with type inference for job payloads - **Scalable**: Built for serverless and traditional deployments alike ### Key Features #### 1. Job Scheduling ```python # Schedule a delayed job job = await mcp.enqueue( queue="email-queue", payload={"to": "user@example.com", "template": "welcome"}, delay="5m" # Execute in 5 minutes ) print(f"Job ID: {job['id']}") print(f"Scheduled for: {job['run_at']}") ``` #### 2. Recurring Jobs ```python # Create a cron-scheduled job recurring = await mcp.schedule_cron( queue="reports", cron="0 9 * * 1", # Every Monday at 9 AM payload={"type": "weekly-summary"}, job_id="weekly-report" # Idempotent identifier ) # List scheduled jobs jobs = await mcp.list_pending(queue="reports") for job in jobs: print(f"Job {job['id']} runs at {job['run_at']}") ``` #### 3. Job Management ```python # Get job status status = await mcp.get_job(queue="email-queue", job_id="job_123") print(f"Status: {status['state']}") print(f"Attempts: {status['attempt_count']}") # Cancel a pending job await mcp.delete_job(queue="email-queue", job_id="job_123") # List all queues queues = await mcp.list_queues() for queue in queues: print(f"Queue: {queue['name']} - {queue['pending']} pending jobs") ``` #### 4. Batch Operations ```python # Enqueue multiple jobs jobs = await mcp.enqueue_many( queue="notifications", jobs=[ {"payload": {"user_id": 1}, "delay": "1m"}, {"payload": {"user_id": 2}, "delay": "2m"}, {"payload": {"user_id": 3}, "delay": "3m"} ] ) print(f"Enqueued {len(jobs)} jobs") ``` ### Configuration ```json { "mcpServers": { "quirrel": { "command": "npx", "args": ["-y", "@anthropic/mcp-quirrel"], "env": { "QUIRREL_BASE_URL": "https://api.quirrel.dev", "QUIRREL_TOKEN": "your-api-token", "QUIRREL_API_URL": "https://yourapp.com/api/queues" } } } } ``` ### Use Cases **Email Campaigns**: Schedule marketing emails and drip campaigns with precise timing, supporting both immediate and delayed delivery. **Report Generation**: Schedule resource-intensive report generation during off-peak hours with cron-based scheduling. **Webhook Retries**: Implement reliable webhook delivery with exponential backoff retries for failed deliveries. **Reminder Systems**: Build reminder and notification systems that trigger at user-specified times with timezone support. The Quirrel MCP enables robust job scheduling and background task management within your development workflow.

Installation

Configuration
{
  "mcpServers": {
    "quirrel": {}
  }
}

How to Use

    Related MCP Servers

    🧰

    Toolhouse MCP

    Universal AI tool platform that equips your AI with production-ready capabilities. Execute code, browse the web, manage files, send emails, and more through a unified MCP interface.

    🔨

    Smithery Registry MCP

    The MCP server registry and discovery platform. Browse, search, and install MCP servers from the community. Find the perfect integrations for your AI development workflow.

    🔍

    MCP Inspector

    Official debugging and testing tool for MCP servers. Inspect server capabilities, test tool calls, validate responses, and debug protocol communication in real-time.

    ← Back to All MCP Servers