Bring Last Mile Delivery
to Pydantic AI
Create your Vinkius account to connect Onfleet to Pydantic AI and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Onfleet MCP Server?
Connect your Onfleet delivery operations to any AI agent and run your fleet from a single conversation.
What you can do
- Delivery Tasks — Create, update, delete, and force-complete delivery tasks with full address and recipient details
- Fleet Tracking — List all active drivers, check who's online, and view their assigned capacities in real time
- Driver Schedules — Pull exact shift times and availability windows for any worker in your fleet
- Teams & Hubs — Browse your team structure and dispatch hubs with geographic coordinates and zone coverage
- Task History — Query tasks by date range to audit completed, failed, or pending deliveries across your operation
How it works
- Subscribe to this server
- Enter your Onfleet API Key
- Start dispatching and tracking deliveries from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Logistics managers — monitor fleet performance and driver availability without switching between dashboards
- Ops teams — create and update delivery tasks on the fly, resolve exceptions, and force-complete stuck orders
- Customer support — look up any delivery by ID to get real-time ETA and driver location for customer inquiries
Built-in capabilities (10)
Force-complete a delivery task
Create a new delivery task in Onfleet
Delete/Archive a delivery task
Get details for a specific delivery task
Get a driver's work schedule
List all dispatch hubs
List all delivery teams
List all fleet drivers/workers
List delivery tasks within a date range
Update an existing delivery task
Why Pydantic AI?
Pydantic AI validates every Onfleet tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Onfleet integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your Onfleet connection logic from agent behavior for testable, maintainable code
Onfleet in Pydantic AI
Why run Onfleet with Vinkius?
The Onfleet connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Onfleet using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Onfleet and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Onfleet to Pydantic AI through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Onfleet for Pydantic AI
Every request between Pydantic AI and Onfleet is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
Can my AI agent create a complete delivery task with address and recipient?
Yes. Pass a JSON object with destination address, recipient name, phone, and any notes — the agent calls the Onfleet Tasks API and returns the created task with its tracking ID. You can also update or delete tasks the same way.
How does force-completing a task differ from a normal driver completion?
Force-completing bypasses the driver app flow — useful when a delivery was made but the driver forgot to mark it done, or for admin overrides. The agent sends the completion details (success/failure and notes) directly to the Onfleet API, updating the task status without driver interaction.
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.
How does Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your Onfleet MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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