Your Odoo instance knows everything about your business. It knows which deals are stalling in the pipeline. It knows which SKUs are about to stock out. It knows exactly how much revenue each customer has generated — and which ones haven't paid in 90 days.
But when you open ChatGPT or Claude and ask a question about your business, the answer is a guess. Not because the AI isn't smart enough. Because it has never seen your data.
That's the gap Septra closes. It connects Odoo directly to a private knowledge base, generates real reports from your live ERP data, and — critically — exposes that knowledge base to Claude and ChatGPT through the Model Context Protocol (MCP). The result: every AI you use can finally answer questions about *your* business, grounded in *your* numbers.
The problem: your ERP is invisible to AI
Odoo is one of the most capable open-source ERPs on the market. It runs your CRM, your inventory, your sales orders, your invoicing, your purchasing, and your accounting — all in one place. For a business owner or operations manager, it's the single source of truth.
But here's the catch: that truth is locked inside Odoo. Your team pulls reports manually. Your analysts export CSVs and build spreadsheets. And every time you ask ChatGPT or Claude a business question — "Which customers haven't paid in 60 days?" or "What's our gross margin by product category?" — the AI has nothing to work with.
Generic AI tools are island models. They're brilliant at reasoning, but they have zero context about your specific business. Every session starts from scratch. Every answer is a guess.
How Septra bridges Odoo and AI
Septra solves this by building a private knowledge base from the tools you already use — and Odoo is one of the deepest integrations in the platform.
Step 1: Connect Odoo to Septra
Connecting Odoo takes one step: enter your Odoo database URL, username, and API key. Septra's Odoo Intelligence engine uses a hand-rolled XML-RPC client — no external dependencies — that supports Odoo versions 16 through 19. It auto-detects which modules are installed in your instance and syncs only what's relevant.
Here's what gets synced into your knowledge base:
- CRM — pipeline stages, deal owners, teams, loss reasons
- Contacts — full contact records with history
- Sales — sales orders, revenue, customer purchase history
- Products — complete product catalog with variants
- Invoicing — invoices, credit notes, payment status
- Purchasing — purchase orders, vendor bills, supplier data
- Inventory — stock moves, quantities, warehouse locations
But raw data isn't enough. That's where the aggregate intelligence comes in.
Step 2: Septra computes the reports that matter
Septra doesn't just mirror your Odoo data — it computes deterministic aggregates server-side and writes them as structured markdown documents in your knowledge base. These aren't generic templates. They're computed from your actual numbers, updated on every sync.
Pipeline aggregates — your sales funnel, win rate, forecast buckets (commit, best-case, pipeline), stalled-deal risk panel, and loss-reason breakdown. You can ask: "Which deals have been stuck in negotiation for more than two weeks?" and get an answer backed by real CRM stages.
Sales aggregates — gross margin by product line, revenue breakdowns by customer segment, repeat-customer rate, and top customers by revenue. Ask Claude: "What's our healthiest product category by margin?" and it answers from your actual sales data.
Invoicing aggregates — Days Sales Outstanding (DSO), AR aging buckets (current, 30, 60, 90, and 90+ days), overdue invoices ranked by amount, and credit note patterns. Ask ChatGPT: "Which customers are past 60 days and owe more than $5,000?" — and it gives you the list.
Inventory aggregates — stock valuation, stockout incidents, low-stock alerts, dead stock identification, turnover ratio, and days-of-supply. Ask: "Which SKUs will run out before the next purchase order arrives?" and get a data-backed answer.
Purchasing aggregates — vendor spend concentration, purchase order cycle time, on-time delivery rates, price variance tracking, and AP aging. Ask: "Which suppliers consistently deliver late?" and the answer comes from your PO history.
Every one of these reports lives in your Septra knowledge base as a living document — updated daily, always current, always grounded in your real Odoo instance.
Step 3: Expose it all to Claude and ChatGPT via MCP
This is where Septra goes beyond every other Odoo integration on the market.
Septra exposes a Model Context Protocol (MCP) endpoint — a standards-based interface that lets external AI tools query your workspace's knowledge base securely. MCP is an open protocol, originally developed by Anthropic, that allows AI assistants like Claude and ChatGPT to connect to external data sources and tools.
Here's what that means in practice:
- You connect Odoo to Septra. Your CRM, sales, inventory, and invoicing data syncs into your private knowledge base.
- Septra computes the aggregate reports — pipeline health, AR aging, inventory turnover, vendor performance — and stores them as structured documents.
- You point Claude Desktop, Claude Code, or any MCP-compatible ChatGPT client at your Septra MCP endpoint.
- Now, when you ask Claude "What's our current DSO and which customers are driving it up?" — Claude queries your Septra knowledge base through MCP, retrieves the invoicing aggregate report, and answers with your actual numbers.
No CSV exports. No copy-pasting. No guessing.
What you can actually do with this
Let's make it concrete. Here are real questions you can ask Claude or ChatGPT once your Odoo data is connected through Septra:
Sales & CRM:
- "Show me every deal over $10,000 that hasn't moved stages in 14 days."
- "What's our win rate by deal owner? Who's converting the highest?"
- "Which loss reasons are trending up this quarter?"
Finance & Invoicing:
- "Give me the AR aging breakdown — how much is in each bucket?"
- "Which customers are past 90 days and what's the total outstanding?"
- "What's our gross margin trend over the last three months, by product category?"
Inventory & Operations:
- "Which products are below reorder threshold right now?"
- "What's our dead stock — items with zero movement in 90 days?"
- "Which suppliers have the worst on-time delivery rate?"
Every answer is cited. Every number is traceable back to your Odoo instance. The AI isn't guessing — it's reading your knowledge base.
Why MCP matters more than a dashboard
You might be thinking: "I can already see this in Odoo's reporting." And you can — if you know which report to run, which filters to apply, and how to interpret the output.
But MCP changes the interaction model entirely. Instead of navigating menus and building reports, you ask a question in plain English and get an answer. Instead of exporting data to a spreadsheet and building a chart, you ask Claude to analyze the trend and it pulls the numbers directly.
This is the difference between *having* data and *using* data. Most businesses have the data. Very few can ask questions of it conversationally, in the tools they already use every day.
Security: your data doesn't leave your control
A natural question: if I connect Odoo to Septra, and then connect Septra to Claude, where does my data go?
Here's the architecture:
- Odoo → Septra: Your data syncs to your private S3 bucket in the Septra platform, encrypted at rest. The sync uses your Odoo API key over XML-RPC. You control which modules sync.
- Septra knowledge base: The synced data and computed aggregates are stored as markdown documents in your workspace's isolated knowledge base. No other workspace can access it.
- Septra → Claude/ChatGPT (via MCP): When Claude queries your knowledge base through MCP, it retrieves specific documents in response to specific queries. The data is transmitted over an encrypted connection. MCP uses OAuth 2.0 with Cognito PKCE — you authenticate once, and the token governs what the external AI can access.
Your Odoo data is never used to train models. It's never shared with other workspaces. It's your data, accessed on your terms.
Getting started: the practical path
Connecting Odoo to Septra and then to Claude or ChatGPT takes three steps:
- Connect Odoo — In your Septra workspace, navigate to Data Sources, select Odoo, and enter your database URL, username, and API key. The first sync runs immediately.
- Review your reports — Within minutes, your knowledge base populates with CRM, sales, inventory, invoicing, and purchasing data — plus all the computed aggregates. Open any report to verify the numbers.
- Connect Claude or ChatGPT — Septra's MCP endpoint is available on the Intelligence plan ($750/mo). Point your MCP client (Claude Desktop, Claude Code, or any MCP-compatible tool) at your workspace's endpoint, authenticate once, and start asking questions.
That's it. No custom integration code. No middleware to maintain. No CSV exports ever again.
Frequently Asked Questions
Which Odoo versions does Septra support?
Septra's Odoo Intelligence engine supports Odoo versions 16 through 19. It auto-detects which modules are installed in your instance, so it only syncs the data that's actually relevant to your business.
Do I need to write code to connect Odoo to Septra?
No. Connecting Odoo is a single step: enter your database URL, username, and API key in the Septra Data Sources screen. The XML-RPC connection, module detection, and aggregate computation all happen automatically. No custom integration code required.
Is my Odoo data secure when I connect it to Claude or ChatGPT?
Yes. Your data syncs to your workspace's private, isolated S3 bucket, encrypted at rest. When Claude or ChatGPT queries your knowledge base through MCP, the connection is authenticated via OAuth 2.0 with Cognito PKCE. Your data is never used to train models and never shared with other workspaces.
Do I need the Intelligence plan to use MCP with Claude or ChatGPT?
Yes. MCP access is available on the Intelligence plan ($750/mo), which includes all agents, 50,000 AI credits, and open MCP protocol access. The Reporting plan ($99/mo) covers the Odoo sync and reports, but not the external MCP endpoint.
Can I use this with both Claude and ChatGPT?
Yes. Septra exposes a standard MCP endpoint, which works with any MCP-compatible client — Claude Desktop, Claude Code, and MCP-capable ChatGPT setups included. You authenticate once and any of these tools can query your knowledge base.
The bigger picture: your ERP as an AI brain
Odoo is a powerful ERP. But an ERP is a system of record — it stores what happened. An AI knowledge base is a system of intelligence — it makes what happened *usable*.
When you connect Odoo to Septra, you're not just automating reports. You're turning your ERP into the foundation of every AI interaction your business has. Every question you ask Claude or ChatGPT — about sales, about inventory, about customers, about cash flow — gets answered from your real data, not from a generic training corpus.
That's the difference between AI that sounds smart and AI that knows your business.
Ready to give Claude and ChatGPT access to your actual Odoo data? Connect Odoo to Septra and start asking real questions today.
