Odoo MCP Server

An MCP (Model Context Protocol) server that exposes an Odoo 19 ERP as a set of standard tools — so any MCP-compatible AI agent (Claude Desktop, an IDE, a custom agent) can query and act on the ERP without writing a single line of custom integration.

MCP is the open standard adopted in 2026 by Anthropic, OpenAI, Google and Microsoft — often described as "the USB-C of AI". It turns the M×N integration problem into M+N: one server per data source, usable by every client.

Exposed tools

Related MCP server: MCP Server for Odoo

Architecture MCP client ──JSON-RPC/stdio──> Odoo MCP Server ──XML-RPC──> Odoo 19

(any agent) (this repo) + pgvector

The server runs as a separate process from Odoo and talks to it through Odoo's official external API (XML-RPC) — the same interface any third-party system would use. This keeps a clean client/server separation, as the protocol intends.

buscar_semantico reuses the RAG layer implemented in the companion module odoo_ai_agent (local embeddings + pgvector).

Tech stack

• Python 3.12, fastmcp

• Transport: stdio (JSON-RPC)

• Odoo 19 external API (XML-RPC)

• PostgreSQL + pgvector for the semantic layer

Setup

python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt

Create a .env file (never committed):

ODOO_URL=http://localhost:8069 ODOO_DB=your_database ODOO_USER=your_odoo_user ODOO_PASSWORD=your_odoo_password

Usage

Run the test client to list and call the published tools:

python3 test_client.py

Or register the server with any MCP client by pointing it to server.py.

Security notes

• Credentials are loaded from environment variables / .env, never hardcoded.

• The server only exposes explicitly declared tools — no arbitrary ORM access.

Author

Salima Terbah — Multiplatform App Developer (DAM), specializing in applied AI for Odoo.

License

LGPL-3