Is API access available on all MRPeasy plans?

No. According to MRPeasy documentation, the API is exclusively available to clients on the 'Unlimited' pricing plan.

Can I see the Bill of Materials (BOM) for a production order?

Yes! Use the `get_manufacturing_order` tool with a specific MO ID to see the detailed metadata including the bill of materials required for that order.

How do I find a specific item's stock history?

Use the `get_stock_item` tool with the item ID to retrieve its complete metadata and stock levels.

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

Name: MRPeasy
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

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 MRPeasy "
            "(10 tools)."
        ),
    )

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

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 MRPeasy MCP Server

Connect your MRPeasy manufacturing and ERP account to your AI agent and streamline your production and inventory management through natural conversation.

Pydantic AI validates every MRPeasy 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 Tracking — List and inspect all customer and sales orders to monitor fulfillment and statuses.
Production Oversight — Access manufacturing orders (MOs) to track real-time progress on the shop floor.
Inventory Management — View all stock items, check current levels, and retrieve detailed history for specific items.
Procurement Insights — List purchase orders (POs) sent to your vendors and manage supplier relationships.
Financial Overview — Retrieve lists of sales invoices related to your manufacturing operations.
Work Station Monitoring — View all defined work stations in your production environment.
Vendor Lookup — Access a list of all registered raw material and product suppliers.

The MRPeasy 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 MRPeasy to Pydantic AI via MCP

Follow these steps to integrate the MRPeasy 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 10 tools from MRPeasy with type-safe schemas

Why Use Pydantic AI with the MRPeasy MCP Server

Pydantic AI provides unique advantages when paired with MRPeasy 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 MRPeasy integration code

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

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

MRPeasy + Pydantic AI Use Cases

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

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

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

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

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

MRPeasy MCP Tools for Pydantic AI (10)

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

get_customer_order

Get specific customer order details

get_manufacturing_order

Get specific manufacturing order info

get_stock_item

Get specific stock item details

list_customer_orders

List MRPeasy customer orders

list_invoices

List sales invoices

list_manufacturing_orders

List manufacturing orders (MOs)

list_purchase_orders

List purchase orders (POs)

list_stock_items

List inventory stock items

list_vendors

List suppliers and vendors

list_work_stations

List manufacturing work stations

Example Prompts for MRPeasy in Pydantic AI

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

"List all active manufacturing orders."

"Check current stock levels for raw materials."

"List our registered vendors."

Troubleshooting MRPeasy MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

MRPeasy + Pydantic AI FAQ

Common questions about integrating MRPeasy MCP Server with Pydantic AI.

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 MRPeasy MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.