odoo-agent-mcp

odoo-agent-mcp

A version-agnostic MCP server for Odoo that enables AI agents to interact with any Odoo app's data, schema, and source code, supporting tasks like data CRUD, schema mapping, code analysis, and feature implementation.

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README

odoo-agent-mcp

A version-agnostic MCP server + code-comprehension engine that gives AI agents (Claude Code / Claude Desktop / Cursor / any MCP client) full command of any Odoo app on any Odoo version — its data, its schema, its source code, and how the two relate.

It answers, for developers and operations teams alike:

  • What data is in the DB, and how do model classes map to tables and columns?
  • What code is where, how does the backend work, and how do modules inherit each other?
  • Show me a flowchart of the system / a user flow.
  • Where would a change break things? Help me implement a feature or fix a bug.

Why this exists (the two-domain problem)

Almost every existing Odoo AI tool covers only Domain A — live data & metadata (reachable over Odoo's API). Very few touch Domain B — the source code (what the backend actually is). Real developer/ops command needs both, and they come from different places: Domain A from the running server, Domain B from the repository. This project fuses them.

See ARCHITECTURE.md for the full design and REUSE_MAP.md for how this relates to existing open-source Odoo MCP/LLM projects.


Capability tiers (graceful degradation)

The server probes each instance at connect time and advertises only the tools it can honour, so one codebase serves a locked SaaS tenant and a self-hosted repo alike.

Tier Requires Unlocks
TIER_0 API credentials only (works on locked Odoo Online) Data CRUD, model/field metadata, model↔table↔column mapping, relationship graph
TIER_1 Companion module odoo_agent_bridge installed Deep introspection endpoint, safe-method catalogue
TIER_2 Read access to the module source repo (self-hosted / Odoo.sh) Source AST analysis, _inherit graphs, flowcharts, source↔DB drift detection, feature/bug workflows

Supported Odoo versions

Odoo 13 → 19+. The ORM surface (search, read, fields_get, execute_kw, ir.model*) is stable across these versions; only the wire protocol differs, and that is isolated behind a transport adapter:

Odoo version Default transport
13 – 18 XML-RPC (fallback: JSON-RPC)
19+ JSON-2 (POST /json/2/<model>/<method>, bearer API key)

XML-RPC / JSON-RPC endpoints are deprecated in Odoo 19 and scheduled for removal (SaaS ~19.1, on-prem/Odoo.sh ~20–22). JSON-2 is implemented now so the tool outlives that removal.


Install

python -m venv .venv
# Windows PowerShell:  .venv\Scripts\Activate.ps1
# bash:                source .venv/bin/activate
pip install -e ".[dev]"

Configure

Copy .env.example to .env and fill in:

ODOO_URL=https://my-instance.odoo.com
ODOO_DB=my_database
ODOO_USERNAME=admin
ODOO_API_KEY=xxxxxxxx        # API key (required for JSON-2 / Odoo 19+)
# ODOO_PASSWORD=...          # legacy auth for <=18 if no API key
ODOO_SOURCE_PATH=/path/to/addons   # optional -> unlocks TIER_2 code intel

Run as an MCP server

odoo-agent-mcp                     # stdio transport (Claude Desktop / Code)

Register in an MCP client (e.g. Claude Code .mcp.json):

{
  "mcpServers": {
    "odoo": { "command": "odoo-agent-mcp" }
  }
}

Testing

pytest                       # unit tests — run anywhere, no Odoo needed
pytest -m e2e                # live end-to-end — REQUIRES the Docker matrix below
docker compose -f docker/docker-compose.yml up -d   # Odoo 15/17/19 + Postgres

Honest status: unit tests (mapping engine, AST engine, transport factory, tier logic) run and pass in this environment. The live e2e suite needs a running Odoo; it is written and skips automatically when no server is reachable. See tests/e2e/README.md. TODO markers flag every path that is not yet live-verified.


Status

v0.1.0 — foundation: transport layer, tier detection, mapping engine, code-comprehension engine, MCP wiring, companion-module skeleton, unit tests. Roadmap in ARCHITECTURE.md.

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