Odoo Inventory MCP Server for Mastra AI 9 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Odoo Inventory through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"odoo-inventory": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Odoo Inventory Agent",
instructions:
"You help users interact with Odoo Inventory " +
"using 9 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Odoo Inventory?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and Odoo Inventory tool infrastructure. Connect 9 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Odoo Inventory MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 9 tools from Odoo Inventory via MCP
Why Use Mastra AI with the Odoo Inventory MCP Server
Mastra AI provides unique advantages when paired with Odoo Inventory through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Odoo Inventory without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Odoo Inventory tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Odoo Inventory + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Odoo Inventory MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Odoo Inventory, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Odoo Inventory as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Odoo Inventory on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Odoo Inventory tools alongside other MCP servers
Odoo Inventory MCP Tools for Mastra AI (9)
These 9 tools become available when you connect Odoo Inventory to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Odoo Inventory immediately.
"Search for leads from the website"
"Show recent sales orders"
Troubleshooting Odoo Inventory MCP Server with Mastra AI
Common issues when connecting Odoo Inventory to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpOdoo Inventory + Mastra AI FAQ
Common questions about integrating Odoo Inventory MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Odoo Inventory with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Mastra AI
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.