Odoo Helpdesk MCP Server for LangChain 7 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Odoo Helpdesk 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({
"odoo-helpdesk": {
"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 Helpdesk, 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 Helpdesk 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 Helpdesk through native MCP adapters. Connect 7 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
- 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 Helpdesk 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 Helpdesk to LangChain via MCP
Follow these steps to integrate the Odoo Helpdesk 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 7 tools from Odoo Helpdesk via MCP
Why Use LangChain with the Odoo Helpdesk MCP Server
LangChain provides unique advantages when paired with Odoo Helpdesk through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Odoo Helpdesk 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 Helpdesk queries for multi-turn workflows
Odoo Helpdesk + LangChain Use Cases
Practical scenarios where LangChain combined with the Odoo Helpdesk MCP Server delivers measurable value.
RAG with live data: combine Odoo Helpdesk tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Odoo Helpdesk, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Odoo Helpdesk tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Odoo Helpdesk tool call, measure latency, and optimize your agent's performance
Odoo Helpdesk MCP Tools for LangChain (7)
These 7 tools become available when you connect Odoo Helpdesk to LangChain via MCP:
odoo_create_ticket
ticket record. The name is the ticket subject. Optionally provide the customer email (partner_email), team assignment (team_id from odoo_list_helpdesk_teams), linked customer (partner_id), description, and priority (0=Low, 1=Medium, 2=High, 3=Urgent). The ticket enters the first kanban stage of the assigned team. Use when the user wants to log a support request, report an issue, or create a task for the helpdesk team. Create a new helpdesk ticket in Odoo for a customer issue with subject, email, team, and priority
odoo_list_helpdesk_teams
team records — the support teams that handle tickets (e.g., "Technical Support", "Billing", "Returns"). Returns team name, member count, and whether SLA tracking is enabled. Use to find team IDs before creating tickets, or when the user asks about the support organization structure. List all helpdesk teams in Odoo with member count and SLA configuration status
odoo_list_sla_policies
sla records showing service level agreements. Returns SLA name, team, target stage, and time targets (days and hours). Use when the user asks about response time commitments, resolution deadlines, or SLA compliance metrics. List SLA policies configured in Odoo Helpdesk with target response/resolution times per team and stage
odoo_list_ticket_types
ticket.type records — the classification labels for categorizing tickets. Use when the user asks about available ticket categories or wants to understand how tickets are organized. List ticket type categories used to classify helpdesk tickets in Odoo (e.g., Bug, Feature Request, Question)
odoo_list_tickets
ticket records ordered by creation date. Returns ticket subject, customer name/email, helpdesk team, kanban stage (e.g., New/In Progress/Solved), priority (0=Low, 1=Medium, 2=High, 3=Urgent), assigned agent, and number of active SLA policies. Optionally filter by team ID. Use when the user asks about support queue, open tickets, team workload, or ticket backlog. List helpdesk tickets in Odoo with customer, team, kanban stage, priority, assignee, and SLA status
odoo_search_tickets
ticket records by subject/name. Returns matching tickets with customer, team, stage, priority, and assignee. Use when the user wants to find a specific ticket, look up a customer issue, or locate tickets about a particular topic. Search helpdesk tickets by subject or keyword to find specific customer issues or requests
odoo_update_ticket
ticket record. Use to escalate priority, rename the ticket, reassign to a different agent, or update any writable field. Use when the user wants to modify a ticket that already exists. Update an existing helpdesk ticket — change subject, priority, assignment, or other properties
Example Prompts for Odoo Helpdesk in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Odoo Helpdesk immediately.
"Search for leads from the website"
"Show recent sales orders"
Troubleshooting Odoo Helpdesk MCP Server with LangChain
Common issues when connecting Odoo Helpdesk to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersOdoo Helpdesk + LangChain FAQ
Common questions about integrating Odoo Helpdesk 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 Helpdesk 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 Helpdesk to LangChain
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.