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 LlamaIndex 10 tools — connect in under 2 minutes

Name: MRPeasy
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add MRPeasy as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to MRPeasy. "
            "You have 10 tools available."
        ),
    )

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

asyncio.run(main())

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* 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.

LlamaIndex agents combine MRPeasy tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

Follow these steps to integrate the MRPeasy MCP Server with LlamaIndex.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

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

Why Use LlamaIndex with the MRPeasy MCP Server

LlamaIndex provides unique advantages when paired with MRPeasy through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine MRPeasy tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain MRPeasy tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query MRPeasy, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what MRPeasy tools were called, what data was returned, and how it influenced the final answer

MRPeasy + LlamaIndex Use Cases

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

Hybrid search: combine MRPeasy real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query MRPeasy to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying MRPeasy for fresh data

Analytical workflows: chain MRPeasy queries with LlamaIndex's data connectors to build multi-source analytical reports

MRPeasy MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect MRPeasy to LlamaIndex 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 LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

MRPeasy + LlamaIndex FAQ

Common questions about integrating MRPeasy MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query MRPeasy tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.