Moova MCP Server for Pydantic AI 14 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Moova through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Moova "
"(14 tools)."
),
)
result = await agent.run(
"What tools are available in Moova?"
)
print(result.data)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Moova MCP Server
Connect your Moova B2B logistics account to any AI agent and orchestrate your entire delivery operation through natural conversation.
Pydantic AI validates every Moova tool response against typed schemas, catching data inconsistencies at build time. Connect 14 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.
What you can do
- Shipment Management — Create, update, and cancel delivery orders with full origin/destination address details and contact information
- Real-time Tracking — Follow every shipment through GPS-powered tracking events including carrier handoffs, delivery attempts, and proof of delivery
- Smart Quoting — Get instant shipping cost estimates between any two addresses using Moova's intelligent carrier routing engine
- Label Generation — Download printable shipping labels with barcodes and QR codes for any registered shipment
- Coverage Intelligence — Query available delivery zones across Argentina and Latin America before committing to an order
- Webhook Automation — Configure real-time notifications for shipment status changes to keep your systems synchronized
The Moova MCP Server exposes 14 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Moova to Pydantic AI via MCP
Follow these steps to integrate the Moova MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 14 tools from Moova with type-safe schemas
Why Use Pydantic AI with the Moova MCP Server
Pydantic AI provides unique advantages when paired with Moova through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Moova integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Moova connection logic from agent behavior for testable, maintainable code
Moova + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Moova MCP Server delivers measurable value.
Type-safe data pipelines: query Moova with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Moova tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Moova and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Moova responses and write comprehensive agent tests
Moova MCP Tools for Pydantic AI (14)
These 14 tools become available when you connect Moova to Pydantic AI via MCP:
cancel_shipment
Once cancelled, the shipment cannot be reactivated and a new one must be created if needed. Cancel an active shipment order
create_shipment
Requires origin and destination addresses with full street details, contact information, and package dimensions. Moova will automatically assign the optimal carrier and route based on real-time availability. Create a new logistics shipment
create_webhook
Essential for keeping your e-commerce platform synchronized with delivery progress. Register a new webhook for shipment events
delete_webhook
Remove a webhook endpoint
get_account_info
Get merchant account information
get_budget
Returns pricing from available carriers including express, same-day, and standard delivery options. Get a shipping cost estimate
get_shipment
Get full details of a specific shipment
get_shipment_label
The label includes barcode, QR code, and all routing information required by the assigned carrier. Download the shipping label for a shipment
get_shipment_status
Get the current status of a shipment
list_coverage_zones
List all available delivery coverage zones
list_shipments
Can be filtered by shipment status (e.g., CREATED, IN_TRANSIT, DELIVERED, CANCELLED) to narrow results. List all shipments with optional status filter
list_webhooks
List all registered webhooks
track_shipment
Get real-time tracking events for a shipment
update_shipment
Changes are not allowed after the carrier has collected the package. Update shipment details before pickup
Example Prompts for Moova in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Moova immediately.
"Create a delivery from 'Av. Corrientes 1234, Buenos Aires' to 'Av. Santa Fe 5678, Buenos Aires' for Juan Pérez."
"How much would it cost to ship from Palermo to Belgrano in Buenos Aires?"
"Track my shipment MOV-28491-AR and tell me where it is right now."
Troubleshooting Moova MCP Server with Pydantic AI
Common issues when connecting Moova to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiMoova + Pydantic AI FAQ
Common questions about integrating Moova MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
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?
Can I switch LLM providers without changing MCP code?
Connect Moova with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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.
Connect Moova to Pydantic AI
Get your token, paste the configuration, and start using 14 tools in under 2 minutes. No API key management needed.