Protocol of context of model redefine the laws of interaction between AI models and tools. It has now allowed LLMS to access interactions with databases, APIs and files.

With MCP, LLMS can now offer updated responses by accessing real -time views of data through different tools, while the results are standardized and coherent.

Introduction of our Odoo MCP server, a powerful implementation of the context protocol of the model that improves the integration of Ai models with the ODOO platform through XML-RPC functions.

On the other hand, the design allows AI models to communicate with real-time data sources in a rational way to generate updated answers.

Server MCP server capabilities

Our Odoo MCP server used existing XML-RPC functions to provide AI models various tools to perform various operations such as creating a partner/product or recovering orders.

With only natural language consultation now, the user can ask the AI ​​agent to perform complex operations at Odoo’s avant -garde using the MCP server.

Here is the list of some actions that a user can run by many with the help of Odoo MCP server.

1) Create product

The user can create new products only through the AI ​​agent to create a new product and provide necessary details.

The following is the example that shows how to create a product by co -pilot with our Odoo MCP server.

2) Get product

A user can consult the MCP server using AI-AGENT to obtain information about a specific product (using product ID) or obtain a list of all products.

Here are the example that shows how to get details on products or a single product using co -pilot.

3) Update the product

You want to update an existing product, you don’t have to worry about the complex process, just write a simple consultation of the natural language to the AI ​​model and provide the details you want to update.

It then shows how you can edit an existing product using the Odoo MCP server

4) Eliminate the product

Eliminating an existing product from your avant -garde Odoo is now very easy only by providing the product identification and asking Ai Agent to delete it.

In addition, below is the video example of how to delete the product by co -pilot.

5) Get the order

You want to know your last order status or check your command list with the Odoo MCP server, it is now free of trouble with a single query to the agent that you can retrieve information related to the order.

In addition, here is how you can extract information on a given order or see the list of previous orders through co -pilot with our MCP server.

Note: This implementation is designed mainly for the functionality of the administration. However, it is totally customizable to align with your specific requirements, either for the work flows of the end user or for the administration.

It can be expanded with robust encryption and exhaustive security measures to ensure the reliability and data protection.

Conclusion

The ODOO MCP server revolutionizes interaction with the Odoo platform allowing natural language consultations, making the tasks significantly more rationalized and accessible.

In addition, it allows users to manage products, partners and orders perfectly, ensuring that they execute critical business operations with accuracy and efficiency.

On the other hand, by reducing AI models with real-time ODOO data through XML-RPC functions, it not only simplifies complex processes, but also improves decision-making with updated information.

Ultimately, the Odoo MCP server serves as a robust and flexible solution that transforms traditional system interactions.

It transforms interactions into a smarter, more efficient and user -centered experience, fostering both operational excellence and long -term growth.

On the other hand, the design allows AI models to communicate with real-time data sources in a rational way to generate updated answers