Compatible with every major AI agent and IDE
Complete task override on Onfleet
Force-complete a delivery task
Create delivery task on Onfleet
Create a new delivery task in Onfleet
Delete delivery task on Onfleet
Delete/Archive a delivery task
Get task details on Onfleet
Get details for a specific delivery task
Get worker schedule on Onfleet
Get a driver's work schedule
List dispatch hubs on Onfleet
List all dispatch hubs
List fleet teams on Onfleet
List all delivery teams
List fleet workers on Onfleet
List all fleet drivers/workers
List tasks by date on Onfleet
List delivery tasks within a date range
Update delivery task on Onfleet
Update an existing delivery task
How Vinkius protects your data
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
Can I see which drivers are online right now and their schedules?
Yes. List all workers to see their online/offline status, active task count, and current location. Then query any specific worker's schedule to see their shift times and availability windows. Perfect for capacity planning and real-time dispatch decisions.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
Automated Workflows using Onfleet
The Onfleet MCP server handles authentication and payload formatting, allowing your LLM to perform deterministic actions.
last mile delivery & AI Execution
Integrate Onfleet for AI-driven last mile delivery management. The MCP server structures the outputs required for Claude to analyze erp operations data.
Managing route optimization inside Claude
Provide Claude Code and Cursor with read and write access to route optimization. The Onfleet toolkit handles all necessary routing for erp operations integrations.
Onfleet. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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