tuanle96/mcp-odoo

Description and use

**Summary**
tuanle96/mcp-odoo is an open‑source MCP (Model Context Protocol) server that bridges Odoo ERP systems with AI assistants, exposing Odoo’s functionality through a standard, language‑agnostic API. With 352 ★, recent commits (as of 2026‑07‑02), and a clean Python implementation, it is well‑positioned for pilots that need AI‑driven automation of Odoo workflows.

**Value**
The project provides a turnkey way to connect large‑language‑model agents to real business tools, allowing AI assistants to read, write, and act on Odoo data without custom glue code. By adhering to the MCP standard, it simplifies integration across multiple AI platforms and promotes reuse of the same protocol for other enterprise systems.

**Practical adoption path**

1. **Evaluate** – Clone the repo, run the provided Docker/CLI starter, and point the MCP client at a sandbox Odoo instance.
2. **Configure** – Define the Odoo models and actions you want to expose via the MCP schema (the repo includes example mappings).
3. **Integrate** – Connect your AI agent (e.g., LangChain, AutoGPT) to the MCP endpoint; the agent can now invoke Odoo CRUD operations as normal tool calls.
4. **Pilot** – Deploy the server in a staging environment, monitor logs, and add authentication/role‑based controls as needed.

**Production readiness**
The codebase shows strong community signals: recent activity, a healthy star/fork count, and a focused Python stack. The architecture follows the well‑documented MCP spec, and the server can be run as a containerized service with standard health checks. While a final security and licensing audit is still required, the project’s activity level and ecosystem adoption make it a solid candidate for production pilots, especially for organizations already using Odoo and looking to augment it with AI‑driven tooling.

Use in a workflow

tuanle96/mcp-odoo helps connect AI assistants to real tools and data through a standard protocol.

• connect AI agents to tools
• ship Model Context Protocol servers
• standardize integrations

Limitations and review notes

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.