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Vinkius

Odoo eCommerce MCP Server for LangChain 6 tools — connect in under 2 minutes

Built by Vinkius GDPR 6 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Odoo eCommerce through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Vinkius supports streamable HTTP and SSE.

python
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({
        "odoo-ecommerce": {
            "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 Odoo eCommerce, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Odoo eCommerce
Fully ManagedVinkius Servers
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High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
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Ed25519Audit chain
<40msKill switch
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 Odoo eCommerce MCP Server

Connect Odoo ERP to any AI agent — manage your entire business without switching tabs.

LangChain's ecosystem of 500+ components combines seamlessly with Odoo eCommerce through native MCP adapters. Connect 6 tools via the 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

  • CRM — Search and create leads, track opportunities through your pipeline
  • Contacts — Find individual contacts and companies, create new partners
  • Sales — List and manage sales orders with full order details
  • Notes — Add comments and notes to any record in your Odoo instance

The Odoo eCommerce MCP Server exposes 6 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 Odoo eCommerce to LangChain via MCP

Follow these steps to integrate the Odoo eCommerce MCP Server with LangChain.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 6 tools from Odoo eCommerce via MCP

Why Use LangChain with the Odoo eCommerce MCP Server

LangChain provides unique advantages when paired with Odoo eCommerce through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents — combine Odoo eCommerce MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Odoo eCommerce queries for multi-turn workflows

Odoo eCommerce + LangChain Use Cases

Practical scenarios where LangChain combined with the Odoo eCommerce MCP Server delivers measurable value.

01

RAG with live data: combine Odoo eCommerce tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Odoo eCommerce, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Odoo eCommerce tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Odoo eCommerce tool call, measure latency, and optimize your agent's performance

Odoo eCommerce MCP Tools for LangChain (6)

These 6 tools become available when you connect Odoo eCommerce to LangChain via MCP:

01

odoo_list_ecommerce_orders

order records where website_id is set — online store orders only. Returns order number, customer, total, status, website, and date. Use when the user asks about online sales or eCommerce revenue. List orders placed through the Odoo Website storefront with customer, amount, and status

02

odoo_list_product_categories

category records with full hierarchy path. Use when the user asks about product organization or needs category IDs for product creation. List the product category tree used to organize products in the Odoo shop and inventory

03

odoo_list_shop_customers

partner records where customer_rank > 0. Returns name, email, phone, city, country. Use for customer analytics or to find buyer contact info. List eCommerce customers who have made purchases, with contact details and location

04

odoo_list_shop_products

template records where sale_ok=true. Returns product name, sale price, category, type, SKU, stock qty, and website publish status. Use when the user asks about the product catalog or shop inventory. List products available on the Odoo eCommerce shop with prices, stock, and publish status

05

odoo_list_websites

Returns website name, domain, and creation date. Use when the user asks about available storefronts. List all Odoo websites configured — useful for multi-website or multi-brand setups

06

odoo_search_shop_products

template by name where sale_ok=true. Returns matching products with price, category, type, SKU, stock, and publish status. Use to find a specific product in the online shop. Search the Odoo eCommerce product catalog by name with prices, stock, and category

Example Prompts for Odoo eCommerce in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Odoo eCommerce immediately.

01

"Search for leads from the website"

02

"Show recent sales orders"

Troubleshooting Odoo eCommerce MCP Server with LangChain

Common issues when connecting Odoo eCommerce to LangChain through the Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Odoo eCommerce + LangChain FAQ

Common questions about integrating Odoo eCommerce MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Odoo eCommerce to LangChain

Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.