Odoo Project MCP Server for OpenAI Agents SDK 7 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Odoo Project through 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 Project Assistant",
instructions=(
"You help users interact with Odoo Project. "
"You have access to 7 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Odoo Project"
)
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 Project MCP Server
Connect Odoo ERP to any AI agent — manage your entire business without switching tabs.
The OpenAI Agents SDK auto-discovers all 7 tools from Odoo Project through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Odoo Project, another analyzes results, and a third generates reports, all orchestrated through 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 Project MCP Server exposes 7 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 Project to OpenAI Agents SDK via MCP
Follow these steps to integrate the Odoo Project 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 7 tools from Odoo Project
Why Use OpenAI Agents SDK with the Odoo Project MCP Server
OpenAI Agents SDK provides unique advantages when paired with Odoo Project 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 Project + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Odoo Project MCP Server delivers measurable value.
Automated workflows: build agents that query Odoo Project, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Odoo Project, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Odoo Project tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Odoo Project to resolve tickets, look up records, and update statuses without human intervention
Odoo Project MCP Tools for OpenAI Agents SDK (7)
These 7 tools become available when you connect Odoo Project to OpenAI Agents SDK via MCP:
odoo_create_project
project record. The name is the project title. Optionally link it to an existing customer/partner using their res.partner ID. Use when the user wants to set up a new project for internal work, a client engagement, or a product initiative. Create a new project in Odoo, optionally linked to a customer or partner
odoo_create_task
task record in the specified project. Requires the project.project ID (use odoo_list_projects to find it). Optionally assign to a res.users ID and set a deadline in YYYY-MM-DD format. Use when the user wants to add a to-do item, delegate work, or plan project deliverables. Create a new task within an Odoo project, optionally assigning it to a user with a deadline
odoo_list_projects
project records showing all active projects. Returns project name, project manager, linked customer/partner, total task count, start date, and end date. Use when the user asks about ongoing projects, wants a project overview, or needs to find a project ID for task creation. List all projects in Odoo with responsible person, customer, task count, and date range
odoo_list_tasks
task records. Optionally filter by project ID to see tasks for a specific project, or omit to see tasks across all projects. Returns task name, project, assigned users, kanban stage (e.g., New/In Progress/Done), priority (0=normal, 1=important), progress percentage, deadline, and creation date. Use when the user asks about to-do lists, task assignments, project progress, or upcoming deadlines. List project tasks in Odoo with assignee, kanban stage, priority, progress, and deadlines
odoo_list_timesheets
analytic.line records where project_id is set — these are timesheet entries that track hours worked. Returns description, project, task, employee, hours logged (unit_amount), and date. Use when the user asks about time tracking, billable hours, employee workload, or project time allocation. List timesheet entries in Odoo showing employee, project, task, hours logged, and date
odoo_log_timesheet
analytic.line record linking hours to a specific project and task. Requires project.project ID, project.task ID, hours worked, and a description of the work performed. Optionally specify a date (defaults to today). Use when the user wants to log time spent, track billable hours, or record daily work activities. Log a timesheet entry — record hours worked on a specific project task with a description
odoo_update_task
task record. You can change the task name, priority (0=normal, 1=important/starred), deadline (YYYY-MM-DD), or any other writable field. Use when the user wants to rename a task, change its priority, reschedule the deadline, or modify task details. Update an existing task in Odoo — change name, priority, deadline, or other properties
Example Prompts for Odoo Project in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Odoo Project immediately.
"Search for leads from the website"
"Show recent sales orders"
Troubleshooting Odoo Project MCP Server with OpenAI Agents SDK
Common issues when connecting Odoo Project to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Odoo Project + OpenAI Agents SDK FAQ
Common questions about integrating Odoo Project 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 Project 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 Project to OpenAI Agents SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.