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Odoo ERP (Full) MCP Server for Pydantic AI 7 tools — connect in under 2 minutes

Built by Vinkius GDPR 7 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Odoo ERP (Full) through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

Vinkius supports streamable HTTP and SSE.

python
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 ERP (Full) "
            "(7 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Odoo ERP (Full)?"
    )
    print(result.data)

asyncio.run(main())
Odoo ERP (Full)
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About Odoo ERP (Full) MCP Server

Connect Odoo ERP to any AI agent — manage your entire business without switching tabs.

Pydantic AI validates every Odoo ERP (Full) tool response against typed schemas, catching data inconsistencies at build time. Connect 7 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 ERP (Full) MCP Server exposes 7 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 ERP (Full) to Pydantic AI via MCP

Follow these steps to integrate the Odoo ERP (Full) MCP Server with Pydantic AI.

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 7 tools from Odoo ERP (Full) with type-safe schemas

Why Use Pydantic AI with the Odoo ERP (Full) MCP Server

Pydantic AI provides unique advantages when paired with Odoo ERP (Full) through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your Odoo ERP (Full) integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your Odoo ERP (Full) connection logic from agent behavior for testable, maintainable code

Odoo ERP (Full) + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Odoo ERP (Full) MCP Server delivers measurable value.

01

Type-safe data pipelines: query Odoo ERP (Full) with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple Odoo ERP (Full) tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query Odoo ERP (Full) and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock Odoo ERP (Full) responses and write comprehensive agent tests

Odoo ERP (Full) MCP Tools for Pydantic AI (7)

These 7 tools become available when you connect Odoo ERP (Full) to Pydantic AI via MCP:

01

odoo_create_contact

partner record. Set is_company=true to create a company/organization, or false (default) for an individual person. For individuals, you can optionally set parent_id to link them to an existing company. Returns the created partner with its new ID. Create a new contact (person) or company in Odoo with name, email, phone, and optional parent company

02

odoo_create_lead

lead. Set type to "lead" for unqualified leads or "opportunity" for qualified prospects already in the pipeline. The name field is the lead title (e.g., "Website Redesign - Acme Corp"). partner_name is the company/organization name. Returns the created record with its new ID. Create a new CRM lead or opportunity in Odoo with contact details and expected revenue

03

odoo_create_note

message of type "comment" with subtype "note", which appears in the chatter/history of the specified record. Provide resModel (e.g., "crm.lead", "sale.order", "res.partner") and resId to attach the note to a specific record. If no resModel/resId is given, creates a standalone note. Use when the user wants to log information, add a comment, or leave a note on any Odoo record. Add a note or internal comment to any Odoo record — leads, contacts, orders, tasks, etc

04

odoo_list_sales_orders

order records ordered by creation date descending. Returns order number (e.g., S00042), customer name, order state (draft/sent/sale/done/cancel), total amount, assigned salesperson, and order date. Use when the user asks about recent orders, sales activity, or wants a summary of current sales. List the most recent sales orders in Odoo with customer, amount, and status

05

odoo_search_companies

partner with is_company=true to find company/organization records. Returns company name, email, phone, website, city, and country. Use when the user asks about a company, organization, or account — distinct from individual contacts. Search companies and organizations in Odoo by name

06

odoo_search_contacts

partner with is_company=false to find individual contacts. Returns name, email, phone, city, country, and parent company. Use when the user asks about a person, wants to find contact info, or needs to look up a customer or partner by name. Search individual contacts (people) in Odoo by name, email, or phone

07

odoo_search_leads

lead model for leads and opportunities matching the query. Returns id, name, email, phone, pipeline stage, expected revenue, type (lead vs opportunity), and assigned salesperson. Use this when the user wants to find prospects, check pipeline status, or look up a specific lead by name or company. Search CRM leads and opportunities in Odoo by name, company, or keyword

Example Prompts for Odoo ERP (Full) in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Odoo ERP (Full) immediately.

01

"Search for leads from the website"

02

"Show recent sales orders"

Troubleshooting Odoo ERP (Full) MCP Server with Pydantic AI

Common issues when connecting Odoo ERP (Full) to Pydantic AI through the Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Odoo ERP (Full) + Pydantic AI FAQ

Common questions about integrating Odoo ERP (Full) MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your Odoo ERP (Full) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect Odoo ERP (Full) to Pydantic AI

Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.