Odoo eCommerce MCP Server for Pydantic AI 6 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Odoo eCommerce through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Odoo eCommerce "
"(6 tools)."
),
)
result = await agent.run(
"What tools are available in Odoo eCommerce?"
)
print(result.data)
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 eCommerce MCP Server
Connect Odoo ERP to any AI agent — manage your entire business without switching tabs.
Pydantic AI validates every Odoo eCommerce tool response against typed schemas, catching data inconsistencies at build time. Connect 6 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.
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 eCommerce MCP Server exposes 6 tools through the Vinkius. Connect it to Pydantic 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 eCommerce to Pydantic AI via MCP
Follow these steps to integrate the Odoo eCommerce MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 6 tools from Odoo eCommerce with type-safe schemas
Why Use Pydantic AI with the Odoo eCommerce MCP Server
Pydantic AI provides unique advantages when paired with Odoo eCommerce through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your Odoo eCommerce integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Odoo eCommerce connection logic from agent behavior for testable, maintainable code
Odoo eCommerce + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Odoo eCommerce MCP Server delivers measurable value.
Type-safe data pipelines: query Odoo eCommerce with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Odoo eCommerce tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Odoo eCommerce and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Odoo eCommerce responses and write comprehensive agent tests
Odoo eCommerce MCP Tools for Pydantic AI (6)
These 6 tools become available when you connect Odoo eCommerce to Pydantic AI via MCP:
odoo_list_ecommerce_orders
order records where website_id is set — online store orders only. Returns order number, customer, total, status, website, and date. Use when the user asks about online sales or eCommerce revenue. List orders placed through the Odoo Website storefront with customer, amount, and status
odoo_list_product_categories
category records with full hierarchy path. Use when the user asks about product organization or needs category IDs for product creation. List the product category tree used to organize products in the Odoo shop and inventory
odoo_list_shop_customers
partner records where customer_rank > 0. Returns name, email, phone, city, country. Use for customer analytics or to find buyer contact info. List eCommerce customers who have made purchases, with contact details and location
odoo_list_shop_products
template records where sale_ok=true. Returns product name, sale price, category, type, SKU, stock qty, and website publish status. Use when the user asks about the product catalog or shop inventory. List products available on the Odoo eCommerce shop with prices, stock, and publish status
odoo_list_websites
Returns website name, domain, and creation date. Use when the user asks about available storefronts. List all Odoo websites configured — useful for multi-website or multi-brand setups
odoo_search_shop_products
template by name where sale_ok=true. Returns matching products with price, category, type, SKU, stock, and publish status. Use to find a specific product in the online shop. Search the Odoo eCommerce product catalog by name with prices, stock, and category
Example Prompts for Odoo eCommerce in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Odoo eCommerce immediately.
"Search for leads from the website"
"Show recent sales orders"
Troubleshooting Odoo eCommerce MCP Server with Pydantic AI
Common issues when connecting Odoo eCommerce to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiOdoo eCommerce + Pydantic AI FAQ
Common questions about integrating Odoo eCommerce MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect Odoo eCommerce 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 eCommerce to Pydantic AI
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.