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

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Craftboxx 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 Craftboxx "
            "(10 tools)."
        ),
    )

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

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

Integrate Craftboxx, the specialized software for craft businesses, directly into your AI workflow. Manage your orders, schedule field appointments, and track company resources using natural language.

Pydantic AI validates every Craftboxx 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

  • Order Management — List and retrieve details for craft orders, and create new orders instantly.
  • Appointment Scheduling — Monitor field work appointments and employee schedules.
  • Resource Tracking — Manage vehicles, machines, and material inventory via chat.
  • Business Insights — Get real-time statistics on your company's performance and task status.

The Craftboxx 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 Craftboxx to Pydantic AI via MCP

Follow these steps to integrate the Craftboxx 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 Craftboxx with type-safe schemas

Why Use Pydantic AI with the Craftboxx MCP Server

Pydantic AI provides unique advantages when paired with Craftboxx 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 Craftboxx 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 Craftboxx connection logic from agent behavior for testable, maintainable code

Craftboxx + Pydantic AI Use Cases

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

01

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

02

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

03

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

04

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

Craftboxx MCP Tools for Pydantic AI (10)

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

01

create_order

Create a new craft order

02

get_business_stats

Retrieve high-level statistics for your business

03

get_order_details

Get details for a specific craft order

04

list_appointments

List scheduled appointments and field work

05

list_customers

List customers and business partners

06

list_employees

List all employees and team members

07

list_materials

List materials and inventory items

08

list_orders

List all craft orders in Craftboxx

09

list_tasks

List all open and completed tasks

10

list_vehicles_resources

List vehicles, machines, and other resources

Example Prompts for Craftboxx in Pydantic AI

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

01

"List all active craft orders for this week."

02

"Show me the appointments scheduled for tomorrow."

03

"What is the status of company vehicle 'Sprinter - B-CX 101'?"

Troubleshooting Craftboxx MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Craftboxx + Pydantic AI FAQ

Common questions about integrating Craftboxx 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 Craftboxx MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect Craftboxx to Pydantic AI

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