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Let AI query, plan, and act in Odoo within user permissions.
The available material is sparse, but the tool is described as acting against Odoo ERP as the authenticated user for discovery, planning, and mutation operations. It declares no separate secrets or remote endpoints and is MIT-licensed open source, so overall it trends toward lower-to-moderate risk; however, it does have code-execution capability, can mutate ERP data, and shows weak adoption/unknown maintenance, so it should be verified before use.
The material states that no separate keys or environment variables are required, but the tool operates 'as the authenticated Odoo user,' implying reliance on an existing Odoo session or account context. The main concern is that it inherits that user's privileges and may perform business mutations on the user's behalf if misused.
No fixed remote endpoint is declared, and there is no evidence of sending data to unrelated third-party services; however, by function it normally must communicate with an Odoo ERP instance, which implies transmitting requests and business data to that target system. The material is insufficient to confirm that it only connects to user-expected Odoo endpoints, so actual network destinations should be checked.
The system checks indicate that the tool has code-execution/process-launch capability. For an MCP tool this is a normal capability and not by itself a high-risk signal; however, combined with its ability to perform discovery, planning, and mutations against ERP data, the runtime environment should be restricted and local system actions should be verified.
The description explicitly supports discovery and mutation in Odoo ERP, bounded by 'user permissions.' This means it may access and modify whatever business data that user is allowed to access in Odoo; there is no indication that it reads local sensitive files beyond that scope, but read/write access to production ERP data still warrants careful approval and least-privilege controls.
A positive factor is that the project is open source under MIT, making the code auditable and materially lowering supply-chain risk; however, it comes from a third-party registry, has 0 GitHub stars, unknown maintenance status, and no README, which limits available audit context. Overall this is not a clear high-risk red flag, but its trust and maturity are still limited, so source and dependency review is recommended.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "OdooSurface MCP" yet — see the docs or source repo.
Connect to Odoo and find sales orders for customer "Stellar Tech" from the last 30 days. Summarize order number, amount, status, and expected delivery date.
A structured summary of recent sales orders for quickly reviewing progress.
Analyze the top 20 best-selling SKUs in Odoo over the last 90 days. Using current stock and safety stock, provide replenishment priority and suggested purchase quantities.
A replenishment recommendation list with priority, stock gap analysis, and suggested purchase quantities.
Create a new customer named "Haiyue Trading" in Odoo with contact "Li Min", email "[email protected]", and tag "Key Account"; if it already exists, update the record instead.
Creates or updates the record within user permissions and reports the outcome with key fields.
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Safely query live Odoo 19 business data for sales, inventory, and finance.
Query, analyze, and optionally update Odoo ERP data from Claude.