Odoo Sales MCP Server for LangChain 8 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Odoo Sales through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
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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({
"odoo-sales": {
"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 Sales, 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 Odoo Sales 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 Sales through native MCP adapters. Connect 8 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 Sales MCP Server exposes 8 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 Sales to LangChain via MCP
Follow these steps to integrate the Odoo Sales 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 8 tools from Odoo Sales via MCP
Why Use LangChain with the Odoo Sales MCP Server
LangChain provides unique advantages when paired with Odoo Sales through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine Odoo Sales 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 Odoo Sales queries for multi-turn workflows
Odoo Sales + LangChain Use Cases
Practical scenarios where LangChain combined with the Odoo Sales MCP Server delivers measurable value.
RAG with live data: combine Odoo Sales tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Odoo Sales, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Odoo Sales tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Odoo Sales tool call, measure latency, and optimize your agent's performance
Odoo Sales MCP Tools for LangChain (8)
These 8 tools become available when you connect Odoo Sales to LangChain via MCP:
odoo_confirm_order
order, transitioning it from "draft"/"sent" to "sale" state. This triggers downstream operations like delivery order creation and inventory reservation. Use when the user says a quote is approved or wants to confirm an order. Confirm a draft quotation, converting it into an active sales order ready for fulfillment
odoo_create_quotation
order in "draft" state with the specified customer and order lines. The partnerId must be an existing res.partner ID. Lines must be a JSON array where each element has product_id (existing product.template ID), product_uom_qty (quantity), and price_unit (unit price). Example lines: [{"product_id": 5, "product_uom_qty": 2, "price_unit": 100.00}] Create a new quotation for a customer with product lines, quantities, and unit prices
odoo_get_order_lines
order.line records for the given order. Returns each line with product name, quantity, unit price, and subtotal. Use when the user wants to see what products are in an order, verify quantities, or check line-level pricing. Get the individual line items (products, quantities, prices) of a specific sales order
odoo_get_sales_order
order record with all key fields: customer, status, amounts, salesperson, dates. Use after finding an order via list/search to drill down into its details. The ID is the numeric Odoo database ID (not the order number like S00042). Get the complete details of a specific sales order or quotation by its numeric ID
odoo_list_pricelists
pricelist records. Pricelists define pricing rules for different customer segments, currencies, or regions. Returns pricelist name, currency, and whether it is active. Use when the user asks about available pricing tiers or currency-specific pricing. List all configured pricelists in Odoo with their currencies and active status
odoo_list_quotations
order records in "draft" or "sent" state — these are quotations pending customer acceptance. Returns quotation number, customer name, total amount, salesperson, currency, and creation date. Use when the user asks about pending quotes, proposals awaiting approval, or the current quotation pipeline. List all draft and sent quotations in Odoo that have not yet been confirmed as sales orders
odoo_list_sales_orders
order records in "sale" or "done" state — these are confirmed orders being fulfilled or already completed. Returns order number, customer, total/untaxed amounts, salesperson, currency, and order date. Use when the user asks about active orders, confirmed sales, or order fulfillment status. List confirmed and completed sales orders in Odoo with customer, amounts, and fulfillment status
odoo_search_products
template records by name. Returns product name, sale price (list_price), cost price (standard_price), product type (consu/service/product), category, available stock quantity, and internal reference (SKU/code). Use when the user needs to find a product, check prices, or verify stock before creating a quotation. Search the Odoo product catalog by name, returning prices, cost, category, stock, and SKU
Example Prompts for Odoo Sales in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Odoo Sales immediately.
"Search for leads from the website"
"Show recent sales orders"
Troubleshooting Odoo Sales MCP Server with LangChain
Common issues when connecting Odoo Sales to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersOdoo Sales + LangChain FAQ
Common questions about integrating Odoo Sales 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 Odoo Sales 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 Odoo Sales to LangChain
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.