π οΈ Onfleet tool MCP server πͺ all 37 operations
This workflow establishes a comprehensive Model Context Protocol (MCP) server, enabling AI agents to interact with all 37 Onfleet logistics and delivery operations seamlessly. By leveraging pre-built tool nodes and dynamic expressions, it eliminates manual configuration for complex tasks like driver dispatching and route management. It is a production-ready solution for developers looking to build intelligent, agentic automation layers on top of their delivery infrastructure.
Start BuildingWhat This Recipe Does
Managing a delivery fleet requires precision, but information often starts as unstructured notes or quick instructions. This Runwork automation bridges the gap between planning and execution by connecting your internal note-taking tools directly to your delivery operations. By leveraging the Model Context Protocol, this application allows you to transform digital sticky notes into actionable delivery tasks within Onfleet automatically. Instead of manually copying addresses, customer details, and delivery windows from your internal planning documents into your dispatch software, the AI handles the data entry for you. This significantly reduces the risk of human error, ensures that drivers receive accurate information immediately, and frees up dispatchers to focus on high-level routing strategy rather than manual typing. Whether you are managing a local courier service or a large-scale distribution network, this automation ensures that every detail captured in your initial planning phase is accurately reflected in your last-mile execution. The result is a more responsive logistics chain, faster turnaround times from order to dispatch, and a reduced administrative burden on your operations team.
What You'll Get
Forms, dashboards, and UI components ready to use
Background automations that run on your schedule
REST APIs for external integrations
Onfleet configured and ready
How It Works
- 1
Click "Start Building" and connect your accounts
Runwork will guide you through connecting Onfleet
- 2
Describe any customizations you need
The AI will adapt the recipe to your specific requirements
- 3
Preview, test, and deploy
Your app is ready to use in minutes, not weeks
Who Uses This
- Logistics managers who want to automate the creation of delivery tasks directly from morning briefing notes.
- Customer support teams who need to convert special delivery instructions from customer notes into updated Onfleet assignments.
- Small business owners looking to streamline the transition from order intake to driver dispatch without manual data entry.
Frequently Asked Questions
Do I need to manually format my notes for this to work?
No, the AI-powered trigger interprets the context of your notes to extract relevant delivery information such as locations, names, and times automatically.
Can I use this with my existing Onfleet setup?
Yes, the automation connects directly to your Onfleet account and can be configured to create new tasks or update existing ones within your current dashboard.
Can I include specific delivery constraints like time windows?
Yes, you can include delivery windows, driver requirements, or special handling instructions within your notes, and the system will pass these details to Onfleet.
What happens if a note is missing a delivery address?
The system can be configured to flag incomplete information for review or notify a dispatcher before a task is finalized in your delivery queue.
Importing from n8n?
This recipe uses nodes like StickyNote, Langchain.mcpTrigger, OnfleetTool. With Runwork, you don't need to learn n8n's workflow syntaxβjust describe what you want in plain English.
Based on n8n community workflow. View original
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