The protocol context model defines the law of interaction between AI models and tools. Now it is possible for LLM to access interactions with databases, APIs, and files.

With MCP, LLM can now provide the latest response by accessing real time insights from data through various tools, while also ensuring the results are standardized and consistent.

Introducing our ODOO MCP server, a strong implementation of the context of the model protocol that increases the integration of AI models with the ODOO platform using the XML-RPC function.

In addition, the design allows AI models to communicate with real-time data sources efficiently to produce the latest responses.

ODOO MCP Server Ability

Odoo MCP server we use the existing XML-RPC function to provide AI models with a number of tools to carry out various operations such as making partners/products or taking orders details.

With only a natural language request, users can ask AI agents to carry out complex operations at Odoo Forefront using the MCP server.

The following is a list of several actions that can be executed by users from many people with the help of the MCP ODOO server.

1) Create a product

Users can create new products using only AI agents to create new products and provide the necessary details.

Below is an example that shows how to make a product using copilot with our Odoo MCP server.

2) Get a product

A user can ask the MCP server using AI-agent for information about certain products (through product IDs) or get a list of all products.

Below is an example that shows how to get details about the product or one product using copilot.

3) Update the product

Want to update existing products, no need to worry about complex processes, just write a simple natural language request for AI models and provide details that you want to update.

This is the way you can edit existing products using the MCP Odoo Server

4) Remove the product

Removing the existing products from the front lines of your Odoo is now very easy just to provide a product ID and ask AI agent to delete it.

In addition, shown below is an example of a video how to delete products using copilot.

5) Get orders

Want to know about the status of your last order or check your order list with Odoo MCP Server, now free to bother with only one query for agents that you can get information related to orders.

In addition, here is how you can extract information about certain orders or see a list of previous orders using copilots with our MCP server.

NOTES : This implementation is designed primarily for the functionality of the admin. However, it can be fully adjusted to be in harmony with your specific requirements-what is the workflow of the final user or admin.

This can be expanded with strong encryption and comprehensive security steps to ensure reliability and data protection.

Conclusion

The ODOO MCP server revolutionizes interaction with the Odoo platform by allowing natural language queries, thus making tasks significantly more efficient and accessible.

In addition, this is empowering users to manage products, partners, and orders smoothly, ensuring they run critical business operations with precision and efficiency.

In addition, by bridging the AI ​​model with real-time ODOO data through the XML-RPC function, but also not only simplifies a complex process but also increases decision making with the latest insight.

In the end, the Odoo MCP server functions as a strong and flexible solution that changes traditional system interactions.

This changes interaction into a smarter, efficient and centered experience of users, fostering operational advantages and long -term growth.

In addition, the design allows AI models to communicate with real-time data sources in a slim manner to produce the latest responses


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