Cron Expression Engine Connector for AI agents.
4 live capabilities
Manage and convert complex cron schedules for cloud and CI/CD pipelines.
Waiting for input…
Why people use Cron Expression Engine
Cron Expression Engine for Validating Complex Cloud Schedules
With this Connector, you just tell your agent what you need in plain English. It handles the translation and validation instantly. You get a confirmed, correct schedule that actually works on the platform you're using, without the headache of memorizing every different format.
What Vinkius changes
You get perfect cron syntax for any platform without having to manually calculate the timing.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Moving jobs to a new cloud provider
A developer needs to move a recurring task from a local server to AWS CloudWatch.
- Real-world use case 02
Verifying CI/CD pipeline timing
An engineer wants to make sure a GitHub Action runs every Monday at 5 PM.
- Real-world use case 03
Auditing existing automation
A team member finds a cryptic cron string in an old script.
Complete set · 4capabilities
The complete Cron Expression Engine capability set.
These are the exact actions your AI can choose when you ask it to work with Cron Expression Engine.
01—04
4 capabilities in this set.
Part of 4 available through Cron Expression Engine.
- 01 Capability
Calculate schedule
Get a list of specific dates and times when a cron job will run next or in the past.
- 02 Capability
Convert format
Change a cron expression from one standard, like Unix, to another, like AWS or Quartz.
- 03 Capability
Parse and explain
Turn a confusing cron string into a clear, human-readable description of its schedule.
- 04 Capability
Validate cron
Check if a cron expression is actually valid for a specific system like GitHub Actions.
Set up in minutes
One URL. Then ask Cron Expression Engine to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Cron Expression Engine from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_F8pcW5vhzo8piMzArT5NttRxEygNTCefwJEkncCv/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Cron Expression Engine, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Cron Expression Engine for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_F8pcW5vhzo8piMzArT5NttRxEygNTCefwJEkncCv/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Cron Expression Engine URL.
- Step 03
Save and start
Save the connection and enable Cron Expression Engine in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"cron-expression-engine": {
"url": "https://edge.vinkius.com/vk_preview_F8pcW5vhzo8piMzArT5NttRxEygNTCefwJEkncCv/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Cron Expression Engine
Open Agent mode in chat and ask: "Using Cron Expression Engine, help me...". 4 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"cron-expression-engine": {
"url": "https://edge.vinkius.com/vk_preview_F8pcW5vhzo8piMzArT5NttRxEygNTCefwJEkncCv/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Cron Expression Engine
Ask Copilot: "Using Cron Expression Engine, help me...". 4 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"cron-expression-engine": {
"url": "https://edge.vinkius.com/vk_preview_F8pcW5vhzo8piMzArT5NttRxEygNTCefwJEkncCv/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Cron Expression Engine
Open Cascade and ask: "Using Cron Expression Engine, help me...". 4 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"cron-expression-engine": {
"url": "https://edge.vinkius.com/vk_preview_F8pcW5vhzo8piMzArT5NttRxEygNTCefwJEkncCv/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Cron Expression Engine
Ask Cline: "Using Cron Expression Engine, help me...". 4 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add cron-expression-engine --transport http "https://edge.vinkius.com/vk_preview_F8pcW5vhzo8piMzArT5NttRxEygNTCefwJEkncCv/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Cron Expression Engine
Ask Claude: "Using Cron Expression Engine, show me...". 4 tools are ready
Where the request belongs
Work Cron Expression Engine can move forward.
This is for the DevOps engineer who's tired of debugging failed cron jobs at 3 AM or the backend developer moving tasks between different cloud providers.
DevOps Engineer
You use this to audit and standardize automation across multiple cloud environments.
Backend Developer
You use this to set up recurring tasks in Spring or AWS without memorizing every syntax variation.
SRE
You use this to verify that CI/CD pipelines and scheduled jobs are firing at the correct times.
Data Engineer
You use this to manage complex ETL pipeline schedules across different environments.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse Connectors
Cron Expression Parser
Validate, interpret, and calculate execution schedules from cron expressions.
Cron Expression Validator
Validate and calculate next execution times for standard and extended cron expressions.
Cron Expression Validator & Next Run Calculator
Validate cron syntax and calculate exact future execution timestamps.
Cron Expression Validator & Next Run Calculator Alternative
Validate cron syntax and calculate exact future execution timestamps.
Deterministic Cron Schedule Engine
Equip your AI with precise cron job parsing. Deterministically translate cron to natural language, format schedules, and calculate exact next execution times.
Cron Expression Calculator
Calculate the exact future dates of any Cron expression using deterministic JavaScript. Stop LLMs from failing date mathematics and leap year edge cases.
Bring your own AI
Change the model, client or framework. Keep Cron Expression Engine connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Cron Expression Engine.
The practical details behind the request, access and result.
Can the Cron Expression Engine MCP help me move my jobs to AWS?
Yes, it can convert your existing Unix cron expressions into the specific format AWS CloudWatch requires.
How do I know if my cron string is actually correct?
You can use the Connector to validate the syntax against specific standards like GitHub Actions or Quartz to catch errors before you deploy.
Can this Connector explain what a complex cron string does?
Yes, it breaks down the expression into human-readable parts so you don't have to guess what it's doing.
Does the Cron Expression Engine MCP support Quartz?
Yes, it supports multiple standards including Unix, Quartz, AWS CloudWatch, and GitHub Actions.
Can I see the next few times a job will run?
You can ask your agent to calculate the upcoming or recent timestamps based on any cron expression.
What cron formats are supported?
The engine supports Unix (5-field), Quartz (6 or 7-field), AWS CloudWatch, and GitHub Actions formats.
How can I check if my cron expression is valid?
You can use the validate_cron capability. Simply provide your expression and specify which format (e.g., 'unix' or 'aws') you are using.
Can I convert a Unix cron to AWS CloudWatch format?
Yes, the convert_format capability is designed specifically for this. It handles the structural differences between standards while maintaining the same schedule.
One connection away
Give your agent a direct line to Cron Expression Engine.
Connect Cron Expression Engine once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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