Provides tools for interacting with an Odoo instance, enabling read and write access to partners, sales orders, stock levels, and invoices, including creating and confirming sales orders and listing invoices.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@odoo-mcp Check stock level for SKU-123"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
An MCP server for Odoo. It gives an LLM agent read and write access to partners, sales orders, stock levels and invoices in an Odoo instance.
Status: early. The tool list below is the plan. Not all of it works yet.
Odoo is a full ERP with a wide API, which makes it hard for an agent to use. Its
external API is XML-RPC with generic search_read and execute_kw calls, so the agent
would need to know model names, field names and domain syntax. This server exposes a
small number of named tools instead, each one covering a task a person would actually
ask for.
Odoo Community runs in Docker with demo data, so the whole thing can be tried without any real system.
Related MCP server: MCP Server for Odoo
Tool | What it does |
| find customers and suppliers |
| read an order with its lines and status |
| create a draft order for a partner |
| confirm a draft order |
| current quantity on hand for a product |
| invoices for a partner, filtered by state |
docker compose up -d odoo db # Odoo Community with demo data
cp .env.example .env
docker compose up mcpOdoo takes about a minute to initialise its database on first start.
The server connects to Odoo over XML-RPC. Each tool builds the domain and the field list itself, so the agent never sees Odoo internals. Results are trimmed to the fields that matter and returned as flat records.
Named tools, not a generic query tool. A single run_query tool would be easier to
write and much worse to use. Named tools carry their own validation and make it obvious
what the agent is allowed to do.
Read and write are separated. Write tools are marked in the schema so the client can require confirmation.
Errors are translated. Odoo raises faults with long tracebacks. The server extracts the message and returns it in a form the agent can act on.
pagination and result limits
multi-company support
tests against a seeded Odoo instance
MIT
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
Odoo ERP for AI agents: hosted OAuth endpoint, gated writes, one endpoint for every instance.
Give AI agents the LinkedIn tools to find, qualify, engage, and follow up with prospects.
Operate Linux, macOS and Windows from your LLM. Every action runs through an auditable allowlist.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/SaintsFlow/odoo-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server