- EXECUTION
- MONITORING
- DETAILS
- HUMAN
Short answer
How can I run and track cloud processes through my AI?
You tell your AI to start a process with specific parameters, and it handles the execution in the cloud. Your agent then monitors the status and pulls specific details whenever you ask for an update.
Workflow outcomes
What you get
The results of your AI's actions in the cloud.
EXECUTION
Cloud processes start
Your agent sends your custom parameters to the cloud. The process begins running immediately without you touching a console.
MONITORING
Real time tracking
The AI keeps an eye on the execution list. You get updates on whether tasks are running, succeeded, or failed.
DETAILS
Deep dive data
If a process hits an error, your agent pulls the specific execution details. You get the exact context needed to debug.
HUMAN
Manual intervention
The AI handles the heavy lifting, but you decide when to stop a process or how to fix a failed run.
The workflow
What your AI does when <the thing arrives>.
The AI acts as the bridge between your chat interface and the cloud execution environment.
Launch the task
Your agent takes your natural language instructions and converts them into a cloud process run with your specific inputs.
run_processCheck progress
The AI looks through all active and past tasks to see what is currently happening in your cloud environment.
list_executionsInspect results
When you ask about a specific run, the agent pulls the granular data for that individual execution.
get_process_detailsReport status
The agent summarizes the state of your workflows, telling you exactly which ones finished and which ones need your attention.
list_executions
Try it
Copy these to start.
Use these prompts to kick off your first workflow.
Starting points
Swap out the bracketed text with your actual process names and parameter values.
YepCode Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_v0mXPBD6TkGQq7azSiKBjN0bynILuuxjnDH3dsh4/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — YepCode capabilities are ready to use.
{
"mcpServers": {
"yepcode-mcp": {
"url": "https://edge.vinkius.com/vk_preview_v0mXPBD6TkGQq7azSiKBjN0bynILuuxjnDH3dsh4/mcp"
}
}
}Run the data_cleanup process with the parameter 'target_bucket=production'.
Show me all the recent executions for the image_resize workflow.
Check the status of the last process that ran.
Get the details for execution ID exec_98765 to see why it failed.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect YepCode once, then ask.
Follow the link to link your account. Your credentials stay encrypted and secure, and you can start chatting with your agent immediately.
Connect YepCode to your AIFAQ
How this task behaves
- 01
Can my AI change the code inside the serverless function?
No. The AI can only trigger existing processes and read their status.
- 02
Does the AI automatically retry failed processes?
No. The AI will report that a process failed, but you must tell it to try again or fix the parameters.
- 03
Can I see a list of every process that has ever run?
Yes, the AI can list executions to show you the history of your workflows.
- 04
Can the AI delete a process entirely?
No. The tools only allow for running, listing, and getting details on executions.
- 05
How does the AI know which parameters to use?
You provide the parameters in your prompt, and the AI passes them directly to the cloud process.
More questions about YepCode? The Connector page answers them. See everything the YepCode Connector can do
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