Odoo Inventory MCP Server for OpenAI Agents SDK 9 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Odoo Inventory through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Odoo Inventory Assistant",
instructions=(
"You help users interact with Odoo Inventory. "
"You have access to 9 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Odoo Inventory"
)
print(result.final_output)
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 Inventory MCP Server
Connect Odoo ERP to any AI agent — manage your entire business without switching tabs.
The OpenAI Agents SDK auto-discovers all 9 tools from Odoo Inventory through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Odoo Inventory, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
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 Inventory MCP Server exposes 9 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 Inventory to OpenAI Agents SDK via MCP
Follow these steps to integrate the Odoo Inventory MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 9 tools from Odoo Inventory
Why Use OpenAI Agents SDK with the Odoo Inventory MCP Server
OpenAI Agents SDK provides unique advantages when paired with Odoo Inventory through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Odoo Inventory + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Odoo Inventory MCP Server delivers measurable value.
Automated workflows: build agents that query Odoo Inventory, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Odoo Inventory, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Odoo Inventory tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Odoo Inventory to resolve tickets, look up records, and update statuses without human intervention
Odoo Inventory MCP Tools for OpenAI Agents SDK (9)
These 9 tools become available when you connect Odoo Inventory to OpenAI Agents SDK via MCP:
odoo_get_transfer
picking record with all fields including move line IDs. Use after listing transfers to drill into a specific receipt, delivery, or internal transfer for full details. Get complete details of a specific stock transfer including its individual stock move lines
odoo_list_adjustments
quant records where inventory_quantity_set is true — these are quants with a proposed adjustment that has not yet been applied. Use when the user asks about pending stock corrections, cycle count discrepancies, or inventory adjustments awaiting approval. List pending inventory adjustments that need to be validated or reviewed by a warehouse manager
odoo_list_locations
location records with usage="internal" — the physical locations where stock is stored. Returns location name, full hierarchical path (e.g., WH/Stock/Zone A), and parent warehouse. Use when the user needs to find specific storage locations, plan inventory placement, or understand the warehouse structure. List internal stock locations (bins, zones, shelves) within Odoo warehouses
odoo_list_stock_moves
move records ordered by date descending. Each move represents a single product movement from one location to another. Returns product name, quantity, state, origin/destination locations, and source document. Use when the user needs a granular audit trail of what moved where and when. List recent individual stock movements showing product, quantity, source, destination, and processing state
odoo_list_transfers
picking records — each represents a batch of stock moves like incoming shipments, outgoing deliveries, or internal transfers. Returns transfer reference, partner, operation type, state (draft/waiting/confirmed/assigned/done), source document (e.g., SO or PO number), scheduled date, and source/destination locations. Filter by state to see only pending, ready, or completed transfers. List stock transfers (receipts, deliveries, internal moves) in Odoo with their current processing status
odoo_list_warehouses
warehouse records. Each warehouse has a name, short code (e.g., WH, WH2), and linked partner/address. Warehouses are the top-level organizational unit in Odoo Inventory. Use when the user asks about warehouse locations, needs warehouse codes for transfers, or wants an overview of the logistics network. List all configured warehouses in Odoo with their short codes and addresses
odoo_product_stock
quant records for the given product ID, showing quantity and reserved quantity at each internal location. Use when the user needs to know WHERE stock is located, not just the total — e.g., "how much of Product X is in Warehouse A vs Warehouse B?" Get detailed stock levels for a specific product broken down by warehouse location
odoo_search_inventory_products
product records (variants) by name. Returns product name, internal reference (SKU), quantity on hand (qty_available), forecasted quantity (virtual_available), incoming qty, outgoing qty, category, and product type. Use when the user wants to check stock levels, find products with low inventory, or verify availability before fulfillment. Search products in Odoo Inventory with real-time stock quantities, including available, incoming, and outgoing
odoo_search_lots
lot records by name/number. Returns lot name, associated product, and total quantity in that lot. Use for traceability — when the user needs to find which products belong to a specific batch, or trace a serial number back to its origin. Search for lot numbers or serial numbers in Odoo to trace product batches
Example Prompts for Odoo Inventory in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Odoo Inventory immediately.
"Search for leads from the website"
"Show recent sales orders"
Troubleshooting Odoo Inventory MCP Server with OpenAI Agents SDK
Common issues when connecting Odoo Inventory to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Odoo Inventory + OpenAI Agents SDK FAQ
Common questions about integrating Odoo Inventory MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Odoo Inventory 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 Inventory to OpenAI Agents SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.