- TRIAGE
- TRACE
- SEARCH
- HUMAN
Short answer
How can I use my AI to debug failed workflows?
Your agent uses Orkes Conductor to pull specific execution details and search for relevant workflows. It identifies the exact exception causing a failure and traces the history of the run. You get a clear breakdown of the error and the sequence of events.
Debugging outcomes.
Where your investigation leads.
The AI sorts through the execution data to give you these specific results.
TRIAGE
Root cause identified
The agent finds the specific error exception in a failed run. You get the exact reason the process stopped.
TRACE
Full history mapped
The AI pulls the task history for a specific execution. You see the sequence of events leading up to the crash.
SEARCH
Pattern recognition
The agent searches through existing workflows to find similar failures. You can see if this is a recurring issue.
HUMAN
Manual fix required
The AI identifies the broken logic or missing data. You decide how to patch the workflow or retry the task.
The workflow
What your AI does when a failure occurs.
The agent moves from broad searches to specific error details automatically.
Locate the failure
The agent scans your environment to find the specific workflow that crashed.
search_workflowsPull execution data
Once the workflow is found, the agent grabs the specific details of that run.
get_executionIsolate the exception
The agent looks through the task history to find the exact error message.
get_executionSummarize the error
The agent translates the technical stack trace into a plain English explanation.
get_executionsearch_workflows
Try it
Copy these to start.
Use these prompts to kick off a debugging session.
Starting points
Swap the bracketed text for your actual workflow IDs or execution names.
Orkes Conductor Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_RrYCpOWyMYAgc2byLtphBnT5DV3QN0zxvc3KjL5z/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 — Orkes Conductor capabilities are ready to use.
{
"mcpServers": {
"orkes-conductor-mcp": {
"url": "https://edge.vinkius.com/vk_preview_RrYCpOWyMYAgc2byLtphBnT5DV3QN0zxvc3KjL5z/mcp"
}
}
}Find the workflow named 'order-processing' and tell me why the last run failed.
Search for all failed workflows from the last hour and summarize the errors.
Check the history for execution ID 'exec-12345' and find the specific exception.
Look at the 'payment-gateway' workflow and tell me if this error has happened before.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Orkes Conductor once, then ask.
Just link your account once. Your credentials stay encrypted, and you can immediately start asking your agent about your workflows.
Connect Orkes Conductor to your AIFAQ
Common questions
- 01
Can the AI fix the workflow code for me?
No. The AI can identify the error and explain what happened, but you must manually apply any code or configuration changes.
- 02
Can the AI restart a failed execution?
No. The tools only allow the AI to read execution and workflow data. You have to trigger retries or restarts yourself.
- 03
Does the AI see all my workflow data?
The AI only accesses the data it needs to answer your specific request via the provided tools.
- 04
Can I use this with Claude?
Yes, you can use this with any MCP-compatible client like Claude, Cursor, or Windsurf.
- 05
Will the AI delete any workflows?
No. The available tools are read-only for searching and getting execution details.
More questions about Orkes Conductor? The Connector page answers them. See everything the Orkes Conductor Connector can do
Connect Orkes Conductor to Claude, Cursor, ChatGPT & more
