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Odoo ERP (Full) MCP Server for LangChain 7 tools — connect in under 2 minutes

Built by Vinkius GDPR 7 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Odoo ERP (Full) 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-erp-full": {
            "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 ERP (Full), show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Odoo ERP (Full)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
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 ERP (Full) 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 ERP (Full) through native MCP adapters. Connect 7 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 ERP (Full) MCP Server exposes 7 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 ERP (Full) to LangChain via MCP

Follow these steps to integrate the Odoo ERP (Full) 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 7 tools from Odoo ERP (Full) via MCP

Why Use LangChain with the Odoo ERP (Full) MCP Server

LangChain provides unique advantages when paired with Odoo ERP (Full) through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents — combine Odoo ERP (Full) 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 ERP (Full) queries for multi-turn workflows

Odoo ERP (Full) + LangChain Use Cases

Practical scenarios where LangChain combined with the Odoo ERP (Full) MCP Server delivers measurable value.

01

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

02

Autonomous research agents: LangChain agents query Odoo ERP (Full), synthesize findings, and generate comprehensive research reports

03

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

04

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

Odoo ERP (Full) MCP Tools for LangChain (7)

These 7 tools become available when you connect Odoo ERP (Full) to LangChain via MCP:

01

odoo_create_contact

partner record. Set is_company=true to create a company/organization, or false (default) for an individual person. For individuals, you can optionally set parent_id to link them to an existing company. Returns the created partner with its new ID. Create a new contact (person) or company in Odoo with name, email, phone, and optional parent company

02

odoo_create_lead

lead. Set type to "lead" for unqualified leads or "opportunity" for qualified prospects already in the pipeline. The name field is the lead title (e.g., "Website Redesign - Acme Corp"). partner_name is the company/organization name. Returns the created record with its new ID. Create a new CRM lead or opportunity in Odoo with contact details and expected revenue

03

odoo_create_note

message of type "comment" with subtype "note", which appears in the chatter/history of the specified record. Provide resModel (e.g., "crm.lead", "sale.order", "res.partner") and resId to attach the note to a specific record. If no resModel/resId is given, creates a standalone note. Use when the user wants to log information, add a comment, or leave a note on any Odoo record. Add a note or internal comment to any Odoo record — leads, contacts, orders, tasks, etc

04

odoo_list_sales_orders

order records ordered by creation date descending. Returns order number (e.g., S00042), customer name, order state (draft/sent/sale/done/cancel), total amount, assigned salesperson, and order date. Use when the user asks about recent orders, sales activity, or wants a summary of current sales. List the most recent sales orders in Odoo with customer, amount, and status

05

odoo_search_companies

partner with is_company=true to find company/organization records. Returns company name, email, phone, website, city, and country. Use when the user asks about a company, organization, or account — distinct from individual contacts. Search companies and organizations in Odoo by name

06

odoo_search_contacts

partner with is_company=false to find individual contacts. Returns name, email, phone, city, country, and parent company. Use when the user asks about a person, wants to find contact info, or needs to look up a customer or partner by name. Search individual contacts (people) in Odoo by name, email, or phone

07

odoo_search_leads

lead model for leads and opportunities matching the query. Returns id, name, email, phone, pipeline stage, expected revenue, type (lead vs opportunity), and assigned salesperson. Use this when the user wants to find prospects, check pipeline status, or look up a specific lead by name or company. Search CRM leads and opportunities in Odoo by name, company, or keyword

Example Prompts for Odoo ERP (Full) in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Odoo ERP (Full) immediately.

01

"Search for leads from the website"

02

"Show recent sales orders"

Troubleshooting Odoo ERP (Full) MCP Server with LangChain

Common issues when connecting Odoo ERP (Full) to LangChain through the Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Odoo ERP (Full) + LangChain FAQ

Common questions about integrating Odoo ERP (Full) 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 ERP (Full) to LangChain

Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.