cron-parser Connector for AI agents.
3 live capabilities
Accurately parse and calculate task schedules for automation workflows.
Waiting for input…
Why people use cron-parser
Deterministic Cron Schedule Engine for Precise Automation Scheduling
This Connector handles the entire math layer for you. Your agent takes the raw input and uses the engine to produce a rock-solid cron string or a perfect human sentence. You get a reliable system where the 'Next Run' time is always correct.
What Vinkius changes
That your AI stops guessing and starts calculating exact schedules.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
User Dashboard
A customer wants to see when their daily backup runs.
- Real-world use case 02
Onboarding Flow
A new user types 'Run this every other Friday.
- Real-world use case 03
System Audit
An admin asks when the next maintenance window starts.
Complete set · 3capabilities
The complete cron-parser capability set.
These are the exact actions your AI can choose when you ask it to work with cron-parser.
01—03
3 capabilities in this set.
Part of 3 available through cron-parser.
- 01 Capability
Calculate next execution
Get the exact date and time the next cron tick will occur. This removes any guesswork when showing 'next run' dates in a UI.
- 02 Capability
Text to cron
Turn a phrase like 'every Monday at noon' into a valid cron string. This helps ensure user input is always formatted correctly.
- 03 Capability
Cron to text
Take a cron expression and turn it into a clear sentence like 'Every week on Monday at 00:00'. This makes complex schedules readable for humans.
Set up in minutes
One URL. Then ask cron-parser to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use cron-parser 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_jR60NVDVGsfnpHf9onlSap3D0FMagQVHTpLe4OdV/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-parser, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable cron-parser for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_jR60NVDVGsfnpHf9onlSap3D0FMagQVHTpLe4OdV/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-parser URL.
- Step 03
Save and start
Save the connection and enable cron-parser in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"deterministic-cron-schedule-engine": {
"url": "https://edge.vinkius.com/vk_preview_jR60NVDVGsfnpHf9onlSap3D0FMagQVHTpLe4OdV/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-parser
Open Agent mode in chat and ask: "Using cron-parser, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"deterministic-cron-schedule-engine": {
"url": "https://edge.vinkius.com/vk_preview_jR60NVDVGsfnpHf9onlSap3D0FMagQVHTpLe4OdV/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-parser
Ask Copilot: "Using cron-parser, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"deterministic-cron-schedule-engine": {
"url": "https://edge.vinkius.com/vk_preview_jR60NVDVGsfnpHf9onlSap3D0FMagQVHTpLe4OdV/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-parser
Open Cascade and ask: "Using cron-parser, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"deterministic-cron-schedule-engine": {
"url": "https://edge.vinkius.com/vk_preview_jR60NVDVGsfnpHf9onlSap3D0FMagQVHTpLe4OdV/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-parser
Ask Cline: "Using cron-parser, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add deterministic-cron-schedule-engine --transport http "https://edge.vinkius.com/vk_preview_jR60NVDVGsfnpHf9onlSap3D0FMagQVHTpLe4OdV/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-parser
Ask Claude: "Using cron-parser, show me...". 3 tools are ready
Where the request belongs
Work cron-parser can move forward.
This is for engineers and developers who need to build reliable scheduling systems without doing the manual math for cron expressions.
DevOps Engineer
They use this to audit complex cron jobs and ensure they are running exactly when intended.
Backend Developer
They use this to build user-facing dashboards where customers set up their own recurring tasks.
Automation Architect
They use this to build complex, multi-step workflows that require precise timing.
SRE
They use this to quickly translate and verify production schedules during incident response.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsCron Expression Parser
Validate, interpret, and calculate execution schedules from cron expressions.
Cron Expression Engine
Parse, validate, convert, and generate cron expressions across multiple standards.
Cron Expression Validator
Validate and calculate next execution times for standard and extended cron expressions.
Cron Expression Validator & Next Run Calculator Alternative
Validate cron syntax and calculate exact future execution timestamps.
Cron Expression Validator & Next Run Calculator
Validate cron syntax and calculate exact future execution timestamps.
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-parser 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-parser.
The practical details behind the request, access and result.
How can I use the Deterministic Cron Schedule Engine to show 'Next Run' times?
You can use the calculation capability to get a precise timestamp for any cron expression. This allows you to show users exactly when their tasks will trigger without having to write any complex date math yourself.
Can the Deterministic Cron Schedule Engine turn my text into cron syntax?
Yes. It takes natural language descriptions like 'every Tuesday at 3pm' and converts them into mathematically valid cron strings that you can save to your database.
Will the Deterministic Cron Schedule Engine make mistakes on complex schedules?
No. It uses a dedicated Javascript engine to perform the math. This makes it deterministic, meaning it will always produce the same correct result for the same input, unlike a standard AI guess.
Is the Deterministic Cron Schedule Engine good for building a task scheduler?
It is ideal for that. It offloads the hardest part of building a scheduler, which is the parsing and calculation of various human-readable time requests into usable data.
How does the Deterministic Cron Schedule Engine handle natural language?
It translates human phrases into standard cron expressions and vice versa. This allows your AI agent to act as a bridge between what a user wants and what your system needs to run.
Why use an Connector for cron translation?
Because AI models predict text probabilistically. They often invent invalid cron configurations or fail to understand exactly when a specific combination (like * * 1 * *) will trigger next. An algorithmic check provides certainty.
Does it support the standard 5-part cron format?
Yes. It perfectly parses the standard 5-part expression (Minute, Hour, Day of Month, Month, Day of Week) heavily used in Unix/Linux and SaaS orchestrators.
Why use an MCP for cron translation?
Because AI models predict text probabilistically. They often invent invalid cron configurations or fail to understand exactly when a specific combination (like * * 1 * *) will trigger next. An algorithmic check provides certainty.
One connection away
Give your agent a direct line to cron-parser.
Connect cron-parser once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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