Odoo HR MCP Server for LangChain 9 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Odoo HR 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-hr": {
"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 HR, 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 HR 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 HR through native MCP adapters. Connect 9 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 HR MCP Server exposes 9 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 HR to LangChain via MCP
Follow these steps to integrate the Odoo HR 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 9 tools from Odoo HR via MCP
Why Use LangChain with the Odoo HR MCP Server
LangChain provides unique advantages when paired with Odoo HR through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine Odoo HR 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 HR queries for multi-turn workflows
Odoo HR + LangChain Use Cases
Practical scenarios where LangChain combined with the Odoo HR MCP Server delivers measurable value.
RAG with live data: combine Odoo HR tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Odoo HR, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Odoo HR tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Odoo HR tool call, measure latency, and optimize your agent's performance
Odoo HR MCP Tools for LangChain (9)
These 9 tools become available when you connect Odoo HR to LangChain via MCP:
odoo_create_leave
leave record in "draft" state. Requires the employee ID (from odoo_search_employees), leave type ID (from odoo_list_leave_types), and date range in format "YYYY-MM-DD HH:MM:SS". The request goes through the standard approval workflow. Use when the user wants to request time off for an employee. Submit a leave request for an employee with specific leave type, start date, and end date
odoo_list_attendance
attendance records ordered by check-in time descending. Returns employee name, check-in timestamp, check-out timestamp (if clocked out), and total worked hours. Use when the user asks about who is currently working, attendance history, or daily hours tracking. List employee attendance records (check-in/check-out times and worked hours) from Odoo
odoo_list_departments
department records showing the organizational structure. Returns department name, department manager, parent department (for hierarchy), and total employee count. Use when the user asks about org structure, department headcounts, or management hierarchy. List all departments in Odoo HR with their managers, parent departments, and headcount
odoo_list_employees
employee records — the full employee directory. Returns name, department, job title, work email, and direct manager for each employee. Use for a headcount overview, department composition analysis, or when the user wants to browse the org chart. List all employees in the Odoo HR directory with departments, job titles, and contact information
odoo_list_expenses
expense records ordered by date. Returns expense description, employee, state (draft/reported/approved/done/refused), total amount, and date. Use when the user asks about pending expense reports, reimbursement requests, or wants to review recent employee expenses. List employee expense reports in Odoo with amounts, approval status, and submission dates
odoo_list_jobs
job records — the defined job positions in the organization. Returns job title, department, number of open recruitments, and recruitment state. Use when the user asks about open positions, hiring pipeline, or workforce planning. List open job positions and recruitment status in Odoo HR with department and vacancy count
odoo_list_leave_types
leave.type records — the categories of leave employees can request. Returns type name and configuration. Use to find the correct leave type ID before creating a leave request, or when the user asks what kinds of time off are available. List available leave types (Paid Time Off, Sick Leave, Unpaid, etc.) configured in Odoo HR
odoo_list_leaves
leave records ordered by date. Returns employee name, department, leave type (e.g., Paid Time Off, Sick Leave), state (draft/confirm/validate/refuse), number of days, and date range. Use when the user asks about upcoming absences, pending leave approvals, vacation schedules, or team availability. List leave requests (vacation, sick, personal days) in Odoo with approval status and duration
odoo_search_employees
employee records by name. Returns employee name, department, job title/position, work email, direct manager, and hire date. Use when the user wants to find a specific employee, look up their department or manager, or get contact details for an internal team member. Search employees in Odoo by name, returning their department, job title, email, and manager
Example Prompts for Odoo HR in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Odoo HR immediately.
"Search for leads from the website"
"Show recent sales orders"
Troubleshooting Odoo HR MCP Server with LangChain
Common issues when connecting Odoo HR to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersOdoo HR + LangChain FAQ
Common questions about integrating Odoo HR 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 HR 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 HR to LangChain
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.