Odoo Inventory MCP Server for Vercel AI SDK 9 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Odoo Inventory through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token — get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Odoo Inventory, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 Vercel AI SDK gives every Odoo Inventory tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI 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 Vercel AI SDK via MCP
Follow these steps to integrate the Odoo Inventory MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 9 tools from Odoo Inventory and passes them to the LLM
Why Use Vercel AI SDK with the Odoo Inventory MCP Server
Vercel AI SDK provides unique advantages when paired with Odoo Inventory through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same Odoo Inventory integration everywhere
Built-in streaming UI primitives let you display Odoo Inventory tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Odoo Inventory + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Odoo Inventory MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Odoo Inventory in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Odoo Inventory tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Odoo Inventory capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Odoo Inventory through natural language queries
Odoo Inventory MCP Tools for Vercel AI SDK (9)
These 9 tools become available when you connect Odoo Inventory to Vercel AI 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI 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 Vercel AI SDK
Common issues when connecting Odoo Inventory to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpOdoo Inventory + Vercel AI SDK FAQ
Common questions about integrating Odoo Inventory MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Odoo Inventory with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Vercel AI SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.