About
An MCP server that lets AI assistants like Claude interact with any Odoo instance—search, create, update, delete records and manage business data through natural language.
Capabilities
Overview
The MCP server for Odoo turns a standard ERP instance into an AI‑ready data lake. It exposes the full breadth of Odoo’s relational model—customers, products, sales orders, invoices, and more—to an LLM via the Model Context Protocol. Developers can therefore let Claude (or any MCP‑compatible assistant) read, create, update, or delete business records without writing custom API wrappers or dealing with Odoo’s XML‑RPC quirks. The server handles authentication, permission checks, and field validation automatically, letting the assistant focus on business logic rather than plumbing.
At its core, the server implements a set of CRUD and query operations that map directly onto Odoo’s ORM. A user can ask the assistant to “list all customers in France” or “create a new product with SKU XYZ,” and the server translates that natural‑language intent into an Odoo search or write call. The result is returned in a hierarchical text format that the LLM can easily parse and embed back into its responses, preserving context for follow‑up questions. This tight integration eliminates the need for developers to write intermediate adapters or maintain stateful sessions between the assistant and the ERP.
Key capabilities include:
- Search & Retrieval – Filter records by any field, supporting complex search domains and logical operators.
- Record Manipulation – Create, update, or delete records with automatic field validation and permission enforcement.
- Bulk Operations – Browse large result sets with smart pagination, count matching records, and retrieve model metadata for introspection.
- Security – Optional API key or username/password authentication, plus full respect for Odoo’s record‑level security rules.
- Developer Convenience – A “YOLO mode” allows instant access to any standard Odoo installation without installing a custom module, making demos and rapid prototyping trivial.
Real‑world scenarios abound: an AI assistant could draft a sales proposal by pulling the latest pricing data, auto‑populate a purchase order from inventory levels, or audit compliance by summarizing invoice histories. In production environments, the server can be paired with Odoo’s MCP module to enforce enterprise security and audit logging. The result is a frictionless workflow where business data becomes first‑class input for natural‑language reasoning, dramatically accelerating development cycles and empowering non‑technical stakeholders to interact with their ERP through conversational queries.
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