- STATUS
- TIMING
- DETAILS
- HUMAN
Short answer
How can I audit my Onfleet delivery history with AI?
Your AI client pulls task lists for specific dates and then looks up the exact details for each one. You'll get a clear breakdown of task statuses and timing without manual exporting. This allows you to spot patterns in delivery failures or delays.
Audit outcomes.
Where your data lands.
The AI processes your request and organizes the findings into these categories.
STATUS
Task status reports
The AI identifies which tasks succeeded, failed, or are still pending. You get a clean list of completed versus incomplete deliveries.
TIMING
Delay identification
By looking at task timestamps, your agent flags deliveries that missed their windows. This highlights where your routing or drivers fell behind.
DETAILS
Deep dive logs
The AI pulls specific metadata for individual tasks. You can see the exact details behind a specific delivery issue.
HUMAN
Manual intervention
The AI identifies tasks that require your direct attention. You decide which specific deliveries need a follow-up call or a re-route.
The workflow
What your AI does when the request arrives.
Your agent follows a logical path to turn a vague question into a structured audit.
Filter by date
The AI narrows down the massive list of Onfleet tasks to only the specific window you asked about.
list_tasks_by_dateFetch specifics
Once the relevant tasks are found, the AI pulls the granular data for each individual delivery.
get_task_detailsAnalyze patterns
The agent compares the retrieved task data against your criteria to find outliers or errors.
list_tasks_by_dateget_task_detailsSummarize findings
The AI presents the final audit in a readable format, highlighting only the most important information.
get_task_details
Try it
Copy these to start.
Use these prompts to begin your audit immediately.
Starting points
Swap the bracketed info for your actual dates or task IDs.
Onfleet Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_g0E06SpDZJptLH4anhCzCRgV7HK2vqU6ycFpQo5p/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 — Onfleet capabilities are ready to use.
{
"mcpServers": {
"onfleet-mcp": {
"url": "https://edge.vinkius.com/vk_preview_g0E06SpDZJptLH4anhCzCRgV7HK2vqU6ycFpQo5p/mcp"
}
}
}List all Onfleet tasks from last Tuesday to show me what happened.
Get the details for task ID 12345 to see why it was marked as failed.
Show me all tasks from yesterday that weren't completed on time.
Summarize the status of all deliveries handled by the driver in the North district today.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Onfleet once, then ask.
Just link your Onfleet account through the Vinkius dashboard. Your credentials stay encrypted, and you can immediately start chatting with your agent about your delivery data.
Connect Onfleet to your AIFAQ
How this task behaves.
- 01
Can the AI change a task status in Onfleet?
No. The AI can only read task data and details. You must manually update statuses within Onfleet.
- 02
Can I ask for tasks from a specific driver?
Yes, as long as you first use the date range tool to pull the relevant task list for the AI to scan.
- 03
Will the AI delete any of my delivery records?
No. This MCP is read-only. It cannot delete, edit, or modify any data in your Onfleet account.
- 04
How does the AI know which tasks to look at?
It uses the date range you provide to filter the task list before it begins analyzing specific details.
- 05
Can the AI create new delivery tasks?
No. The available tools are limited to retrieving existing task lists and specific task details.
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