MRPeasy MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect MRPeasy through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"mrpeasy": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using MRPeasy, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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 MRPeasy MCP Server
Connect your MRPeasy manufacturing and ERP account to your AI agent and streamline your production and inventory management through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with MRPeasy through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the MRPeasy MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from MRPeasy via MCP
Why Use LangChain with the MRPeasy MCP Server
LangChain provides unique advantages when paired with MRPeasy through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine MRPeasy MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across MRPeasy queries for multi-turn workflows
MRPeasy + LangChain Use Cases
Practical scenarios where LangChain combined with the MRPeasy MCP Server delivers measurable value.
RAG with live data: combine MRPeasy tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query MRPeasy, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain MRPeasy tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every MRPeasy tool call, measure latency, and optimize your agent's performance
MRPeasy MCP Tools for LangChain (10)
These 10 tools become available when you connect MRPeasy to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting MRPeasy to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersMRPeasy + LangChain FAQ
Common questions about integrating MRPeasy MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect MRPeasy 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 MRPeasy to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.