Manage Onfleet Logistics via AI Agents Using n8n and MC

This template enables integration between Onfleet and AI agents through n8n and an MCP server. It exposes full Onfleet API functionality via tool calls, allowing dynamic management of tasks, workers, teams, and hubs based on natural language queries or AI-driven decisions.

## Who it´s for
- Companies automating delivery operations with AI assistants
- Logistics startups using n8n and Onfleet
- Developers building AI agents for delivery task management
- SaaS products integrating route planning into their systems
- Operations teams needing flexible access to Onfleet API

## What the automation does
- Accepts requests from AI agents via the ai_tool trigger
- Creates new delivery tasks with recipient address and details
- Retrieves list of active couriers upon manager request
- Auto-dispatches tasks to teams upon new orders
- Updates hub information (coordinates, contacts) via admin request
- Fetches and returns worker schedules on user inquiry

## What´s included
- Ready-to-use n8n workflow
- Logic for handling AI agent tool calls
- Integration with Onfleet API via MCP server
- Full set of nodes for managing tasks, workers, teams, hubs, and admins
- Basic text guide for setup and adaptation

## Requirements for setup
- n8n instance with workflow execution capability
- Configured MCP server with Onfleet API access
- Valid Onfleet API credentials
- AI agent capable of making tool calls (e.g., built with LangChain)

## Benefits and outcomes
- Full automation of logistics operations via AI
- Reduced operational workload
- Fast integration of Onfleet into AI applications without coding
- Centralized control over all delivery entities
- Scalability through standard low-code stack
- Flexibility in business logic configuration via n8n

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via Telegram: @gleb923.