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MotionTools MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

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Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect MotionTools through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Vinkius supports streamable HTTP and SSE.

python
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 MotionTools "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in MotionTools?"
    )
    print(result.data)

asyncio.run(main())
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About MotionTools MCP Server

Connect your MotionTools account to your AI agent and streamline your urban logistics and fleet management through natural conversation.

Pydantic AI validates every MotionTools 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.

What you can do

  • Booking Management — List all delivery or hailing bookings and create new ones with pickup and dropoff details.
  • Fleet Oversight — Access real-time info on your drivers and registered vehicles, including current assignment statuses.
  • Service Area Insights — List and inspect the geographic zones and boundaries where your operations are active.
  • Customer Records — View a list of all customers who have booked services in your account.
  • Deep Inspection — Fetch complete metadata and current status for specific bookings, drivers, or vehicles using their unique IDs.

The MotionTools MCP Server exposes 10 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 MotionTools to Pydantic AI via MCP

Follow these steps to integrate the MotionTools MCP Server with Pydantic AI.

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 10 tools from MotionTools with type-safe schemas

Why Use Pydantic AI with the MotionTools MCP Server

Pydantic AI provides unique advantages when paired with MotionTools through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your MotionTools integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your MotionTools connection logic from agent behavior for testable, maintainable code

MotionTools + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the MotionTools MCP Server delivers measurable value.

01

Type-safe data pipelines: query MotionTools with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple MotionTools tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query MotionTools and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock MotionTools responses and write comprehensive agent tests

MotionTools MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect MotionTools to Pydantic AI via MCP:

01

create_booking

Create a new logistics booking

02

get_booking

Get specific booking details

03

get_driver

Get specific driver details

04

get_service_area

Get service area details

05

get_vehicle

Get specific vehicle info

06

list_bookings

List logistics bookings

07

list_customers

List logistics customers

08

list_drivers

List fleet drivers

09

list_service_areas

List active service areas

10

list_vehicles

List fleet vehicles

Example Prompts for MotionTools in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with MotionTools immediately.

01

"List my current delivery bookings and their status."

02

"Show me the list of active vehicles in the fleet."

03

"Create a new booking from 123 Main St to 456 Oak Ave."

Troubleshooting MotionTools MCP Server with Pydantic AI

Common issues when connecting MotionTools to Pydantic AI through the Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

MotionTools + Pydantic AI FAQ

Common questions about integrating MotionTools MCP Server with Pydantic AI.

01

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.
02

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.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your MotionTools MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect MotionTools to Pydantic AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.