Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Full-featured Odoo 19 ERP connector for OpenClaw - Sales, CRM, Purchase, Inventory, Projects, HR, Fleet, Manufacturing (80+ operations, complete Python code included, XML-RPC integration).
Full-featured Odoo 19 ERP connector for OpenClaw - Sales, CRM, Purchase, Inventory, Projects, HR, Fleet, Manufacturing (80+ operations, complete Python code included, XML-RPC integration).
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Full-featured Odoo 19 ERP integration for OpenClaw. Control your entire business via natural language chat commands. ๐ฆ Full Source Code: https://github.com/NullNaveen/openclaw-odoo-skill
\ash npx clawhub install odoo-erp-connector \
The Odoo ERP Connector bridges OpenClaw and Odoo 19, enabling autonomous, chat-driven control over 153+ business modules including: Sales & CRM Purchasing & Inventory Invoicing & Accounting Projects & Task Management Human Resources Fleet Management Manufacturing (MRP) Calendar & Events eCommerce All operations use smart actions that handle fuzzy matching and auto-creation workflows.
Create quotations with dynamic line items Manage sales orders (draft โ confirmed โ done) Search and filter orders by status, customer, date range Create and qualify leads and opportunities Move leads through CRM pipeline stages View full sales pipeline with revenue forecasting
Create purchase orders from vendors Manage PO status (draft โ purchase โ received) Receive and validate goods Search and filter POs by vendor, status, date Track purchase history and vendor performance
Create products (consumables, stockable, services) Query stock levels and availability Set reorder points and receive low-stock alerts Search products by name, code, or category Track stock movements and valuations
Create and post customer invoices Manage payment terms and schedules Query unpaid and overdue invoices Search by customer, date range, or amount Track invoice status (draft โ posted โ paid)
Create projects and organize by team/status Create tasks with priority, dates, and assignments Log timesheets and track project hours Search and filter tasks by project, status, assignee Manage project stages and closure
Create employees and departments Manage job titles and work schedules Process expense reports and reimbursements Search employees by name, department, job Track leave requests and attendance
Create and track vehicles Log odometer readings and service records Track maintenance schedules and costs Search fleet by license plate, status, brand Generate fleet reports
Create Bills of Materials (BOMs) Manage manufacturing orders (MOs) Track component requirements and production status Search MOs by product or status Link BOMs to product variants
Create meetings and events with attendees Set reminders and locations Search events by date range or attendee Track calendar availability
Publish products to website View website orders and customer activity Manage product visibility and pricing
"Create a quotation for Acme Corp with 10 Widgets at $50 each" "Confirm sales order SO00042" "Show me all draft quotations from the past week" "What's the total revenue from completed orders this month?" "Create a quote for Rocky with product Rock"
"Create a lead for Rocky, email rocky@example.com, potential $50k deal" "Move lead #47 to Qualified stage" "Show me the sales pipeline with all open opportunities" "What leads are at proposal stage?" "Create an opportunity for Acme with $100k expected value"
"Create a PO for 500 widgets from Supplier ABC" "Confirm purchase order PO00123" "Show all pending purchase orders" "Get me the vendor history for ABC Supplies" "What's on order that's overdue?"
"Create a new product: TestWidget, $25 price, min stock 10" "Show products with stock below 20 units" "What's the stock level for Widget X?" "Search for all consumable products" "Set reorder point for Product Y to 50 units"
"Create an invoice for Acme Corp with 5 units at $50 each" "Show me unpaid invoices" "What invoices are overdue?" "Post invoice INV-001" "Send a reminder for invoice INV-002"
"Create a project called Website Redesign" "Create a task 'Fix login button' in Website Redesign project" "Show me all tasks assigned to me" "Log 3 hours of work on task #42" "What's the status of the Website Redesign project?"
"Create employee John Smith, job title Developer" "Create department Engineering" "Show me all employees in Engineering" "Submit expense report for $45.99" "What are the pending leave requests?"
"Create vehicle: Tesla Model 3, license plate TESLA-001" "Log odometer reading: 50,000 miles for vehicle #1" "Show all vehicles with service due" "What's the maintenance cost for this month?" "Search for blue vehicles"
"Create BOM: Widget contains 3 Components A and 2 Components B" "Create manufacturing order: produce 50 Widgets" "Confirm production order #1" "What's the status of MO-001?" "Show all in-progress manufacturing orders"
"Create meeting: Team Standup, tomorrow at 10am, 1 hour" "Show me my meetings for next week" "What events do I have on the 15th?" "Schedule a 2-hour planning session with the team"
"Publish Widget X to the website" "Show me website orders from this week" "What's my website revenue?"
The connector handles fuzzy/incomplete requests with intelligent find-or-create logic.
Example: "Create quotation for Rocky with product Rock" The system: Searches for a customer named "Rocky" (case-insensitive, ilike matching) If not found: Creates a new customer "Rocky" (auto-company flag) Searches for product "Rock" If not found: Creates a basic product "Rock" (consumable type, default price $0) Creates the quotation, linking both the found/created customer and product Reports what was found vs. created: "Created quotation QT-001 for new customer Rocky with 1 ร Rock at $0.00" This pattern applies across all smart actions: smart_create_quotation() โ customer + products smart_create_purchase() โ vendor + products smart_create_lead() โ partner (optional) smart_create_task() โ project + task smart_create_employee() โ department smart_create_event() โ event only (no dependencies)
Fuzzy matching: Searches are case-insensitive and forgiving Auto-creation: Missing dependencies are created automatically Transparency: Each response explains what was created vs. found No IDs needed: Use names instead of Odoo IDs Batch operations: Create multiple related records in one call
OdooClient โ Low-level XML-RPC wrapper Connects to Odoo 19 instance Handles authentication via API key Provides search(), read(), create(), write(), unlink() methods Built-in retry logic and error handling Model Ops Classes โ Business logic for each module PartnerOps โ Customers/suppliers SaleOrderOps โ Quotations and sales orders InvoiceOps โ Customer invoices InventoryOps โ Products and stock CRMOps โ Leads and opportunities PurchaseOrderOps โ POs and vendors ProjectOps โ Projects and tasks HROps โ Employees, departments, expenses ManufacturingOps โ BOMs and MOs CalendarOps โ Events and meetings FleetOps โ Vehicles and odometer EcommerceOps โ Website orders and products SmartActionHandler โ High-level natural-language interface Wraps all Ops classes Implements find-or-create workflows Fuzzy name matching (case-insensitive) Multi-step transaction orchestration Detailed response summaries
The connector auto-detects required vs. optional fields in Odoo 19: Implicit defaults: Fields with Odoo defaults (e.g., state) are omitted Smart creation: Auto-fills reasonable defaults for optional fields Error reporting: Missing required fields raise clear OdooError with field name
{ "url": "http://localhost:8069", "db": "your_database", "username": "api_user@yourcompany.com", "api_key": "your_api_key_from_odoo_preferences", "timeout": 60, "max_retries": 3, "poll_interval": 60, "log_level": "INFO", "webhook_port": 8070, "webhook_secret": "" }
Log in to your Odoo instance Go to Settings โ Users & Companies โ Users Open your user record Scroll to Access Tokens Click Generate Token Copy the token and paste into config.json
Alternatively, set in .env: ODOO_URL=http://localhost:8069 ODOO_DB=your_database ODOO_USERNAME=api_user@yourcompany.com ODOO_API_KEY=your_api_key The client auto-loads from .env if config.json is missing.
from odoo_skill import OdooClient, SmartActionHandler # Load config from config.json client = OdooClient.from_config("config.json") # Test connection status = client.test_connection() print(f"Connected to Odoo {status['server_version']}") # Use smart actions for natural workflows smart = SmartActionHandler(client) # Create a quotation with fuzzy partner and product matching result = smart.smart_create_quotation( customer_name="Rocky", product_lines=[ {"name": "Rock", "quantity": 5, "price_unit": 19.99} ], notes="Fuzzy match quotation" ) print(result["summary"]) # Output: "Created quotation QT-001 for new customer Rocky with 1 ร Rock at $19.99"
# Find-or-create a customer result = smart.find_or_create_partner( name="Acme Corp", is_company=True, city="New York" ) partner = result["partner"] created = result["created"] # Find-or-create a product result = smart.find_or_create_product( name="Widget X", list_price=49.99, type="consu" ) product = result["product"] # Smart quotation (auto-creates customer & products) result = smart.smart_create_quotation( customer_name="Rocky", product_lines=[ {"name": "Product A", "quantity": 10}, {"name": "Product B", "quantity": 5, "price_unit": 25.0} ], notes="Created via smart action" ) order = result["order"] print(f"Order {order['name']} created with {len(result['products'])} product(s)") # Smart lead creation result = smart.smart_create_lead( name="New Prospect", contact_name="John Doe", email="john@prospect.com", expected_revenue=50000.0 ) lead = result["lead"] # Smart task creation (auto-creates project if needed) result = smart.smart_create_task( project_name="Website Redesign", task_name="Fix homepage", description="Update hero section" ) task = result["task"] # Smart employee creation (auto-creates department if needed) result = smart.smart_create_employee( name="Jane Smith", job_title="Developer", department_name="Engineering" ) employee = result["employee"]
from odoo_skill.models.sale_order import SaleOrderOps from odoo_skill.models.partner import PartnerOps partners = PartnerOps(client) sales = SaleOrderOps(client) # Get all customers customers = partners.search_customers(limit=10) for cust in customers: print(f"{cust['name']} โ {cust.get('email')}") # Create a quotation with specific IDs order = sales.create_quotation( partner_id=42, lines=[ {"product_id": 7, "quantity": 10, "price_unit": 49.99}, {"product_id": 8, "quantity": 5} ], notes="Manual order" ) print(f"Created {order['name']}") # Confirm the order confirmed = sales.confirm_order(order['id']) print(f"Order {confirmed['name']} is now {confirmed['state']}")
All API methods return structured dictionaries:
{ "summary": "Created quotation QT-001 for new customer Rocky with 1 ร Rock", "order": { "id": 1, "name": "QT-001", "state": "draft", "partner_id": [42, "Rocky"], "amount_total": 19.99 }, "customer": { "created": True, "partner": {"id": 42, "name": "Rocky"} }, "products": [ { "created": True, "product": {"id": 7, "name": "Rock"} } ] }
{ "id": 1, "name": "QT-001", "state": "draft", "partner_id": [42, "Rocky"], "amount_total": 19.99, "order_line": [ { "id": 1, "product_id": [7, "Rock"], "quantity": 1, "price_unit": 19.99, "price_subtotal": 19.99 } ] }
The connector uses custom exceptions: from odoo_skill.errors import OdooError, OdooAuthError, OdooNotFoundError try: result = smart.smart_create_quotation( customer_name="Acme", product_lines=[{"name": "Widget"}] ) except OdooAuthError as e: print(f"Authentication failed: {e}") except OdooNotFoundError as e: print(f"Record not found: {e}") except OdooError as e: print(f"Odoo error: {e}")
The connector supports 153+ installed modules in Odoo 19: Core base, web, website Sales & CRM sale, crm, sale_management, website_sale, event, survey Purchasing purchase, purchase_stock, purchase_requisition Inventory stock, stock_intrastat, stock_dropshipping Accounting account, account_accountant, account_analytic, account_payment HR hr, hr_attendance, hr_expense, hr_contract, hr_holidays, hr_org_chart Projects project, project_enterprise, task_base, project_timesheet_forecast Manufacturing mrp, mrp_byproduct, quality, batch, shelf_life Fleet fleet, maintenance Marketing marketing_automation, email_marketing, mass_mailing, sms, website_form eCommerce website_sale, website_sale_analytics, website_sale_comparison, website_form_project Tools calendar, documents, spreadsheet, discuss, mail, knowledge Plus 50+ more specialized modules
Search limit: 100 records by default (configurable) Timeout: 60 seconds per request (configurable) Retries: 3 automatic retries on network failure Concurrency: Single-threaded; queue requests if needed Rate limiting: Follow your Odoo instance's API limits
Verify url, db, username, api_key in config.json Check Odoo server is running: http://your-odoo-url/web Ensure API key is generated in Odoo user settings Check network connectivity and firewall rules
Regenerate API key in Odoo Verify username (email format) Check that the user has API access enabled Ensure database name matches exactly
Field names must match Odoo 19 exactly (e.g., product_tmpl_id, not product_id) Some fields are read-only in Odoo (state, computed fields) Check Odoo model definition: Settings โ Technical โ Database Structure โ Models
Fuzzy matching is case-insensitive but searches only the name field For exact matching, use the low-level Ops API with id directly If a name exists in multiple records, the first match is used
Large searches (limit > 100) may timeout Use date range filters: date_from, date_to Consider batch operations for bulk data
User: "Create a quote for Acme Corp with 10 Widgets at $50 each" OpenClaw โ OdooClient (smart action): 1. Search for customer "Acme Corp" 2. Search for product "Widgets" 3. Create quotation with both 4. Return summary Result: "โ Created quotation QT-001 for Acme Corp with 10 ร Widgets at $50"
User: "Show me the sales pipeline" OpenClaw โ CRMOps.get_pipeline(): - Query all leads/opportunities - Group by stage - Calculate total revenue by stage - Return formatted summary Result: "Qualified: $50k | Proposal: $100k | Negotiation: $75k | Total: $225k"
User: "What products are low on stock?" OpenClaw โ InventoryOps.get_low_stock_products(): - Query products with stock < reorder point - List each product, stock level, reorder point - Suggest PO quantities Result: "Widget X: 5 on hand (min 20) | Component Y: 0 on hand (min 10)"
OdooConnector/ โโโ odoo_skill/ โ โโโ client.py # Core OdooClient โ โโโ config.py # Configuration loader โ โโโ errors.py # Custom exceptions โ โโโ retry.py # Retry logic โ โโโ smart_actions.py # Smart action handler โ โโโ models/ โ โ โโโ partner.py โ โ โโโ sale_order.py โ โ โโโ invoice.py โ โ โโโ inventory.py โ โ โโโ crm.py โ โ โโโ purchase.py โ โ โโโ project.py โ โ โโโ hr.py โ โ โโโ manufacturing.py โ โ โโโ calendar_ops.py โ โ โโโ fleet.py โ โ โโโ ecommerce.py โ โโโ utils/ โ โ โโโ formatting.py # Response formatting โ โ โโโ validators.py # Input validation โ โโโ sync/ โ โ โโโ poller.py # Webhook poller โ โ โโโ webhook.py # Webhook handler โโโ run_full_test.py # Integration test suite โโโ config.json # Configuration (create from template) โโโ config.template.json # Configuration template โโโ requirements.txt # Python dependencies โโโ README.md # User setup guide โโโ SKILL.md # This file โโโ setup.ps1 # PowerShell installer
# Run full integration test suite python run_full_test.py # Run single test module python -m pytest tests/test_partners.py -v # Run with coverage python -m pytest --cov=odoo_skill tests/
Implement the method in SmartActionHandler class Use find_or_create_* primitives for dependencies Return a dict with summary, the main record, and creation details Add docstring with example usage Test with run_full_test.py Example: def smart_create_invoice(self, customer_name: str, product_lines: list[dict], **kwargs) -> dict: """Create invoice with fuzzy customer and product matching.""" # Find or create customer customer_result = self.find_or_create_partner(customer_name) customer = customer_result["partner"] # Find or create products products = [] for line in product_lines: prod_result = self.find_or_create_product(line["name"], **line) products.append(prod_result) # Create invoice with resolved IDs invoice = self.invoices.create_invoice( partner_id=customer["id"], lines=[...], **kwargs ) return { "summary": f"Created invoice INV-001 for {customer['name']}", "invoice": invoice, "customer": customer_result, "products": products }
This connector is part of the OpenClaw project. For issues, questions, or contributions, contact the development team. Last Updated: 2026-02-09 Odoo Version: 19.0 Python: 3.10+ Status: Production Ready
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