Integrate LibreChat with Live Odoo Data via CData Connect AI

Yazhini G
Yazhini G
Technical Marketing Engineer
Leverage the CData Connect AI Remote MCP Server to enable LibreChat to securely access and query live Odoo data from within the chat interface.

LibreChat is an open-source, self-hosted AI chat platform that brings together multiple LLM providers, agents, and assistants behind a single interface. It also supports the Model Context Protocol (MCP), so you can connect external tools and data sources directly to the chat and pull in live data from the systems you already work with.

By integrating LibreChat with CData Connect AI through the built-in MCP Server, LibreChat gains governed, real-time access to live Odoo data. This enables you to list catalogs, explore schemas, and query records from Odoo data using natural language prompts, with all data access running securely against authorized sources.

This article explains how to configure Odoo connectivity in Connect AI, generate the required personal access token, install LibreChat, register the Connect AI MCP Server, configure an LLM provider, and verify the integration by querying live Odoo data from the LibreChat interface.

About Odoo Data Integration

Accessing and integrating live data from Odoo has never been easier with CData. Customers rely on CData connectivity to:

  • Access live data from both Odoo API 8.0+ and Odoo.sh Cloud ERP.
  • Extend the native Odoo features with intelligent handling of many-to-one, one-to-many, and many-to-many data properties. CData's connectivity solutions also intelligently handle complex data properties within Odoo. In addition to columns with simple values like text and dates, there are also columns that contain multiple values on each row. The driver decodes these kinds of values differently, depending upon the type of column the value comes from:
    • Many-to-one columns are references to a single row within another model. Within CData solutions, many-to-one columns are represented as integers, whose value is the ID to which they refer in the other model.
    • Many-to-many columns are references to many rows within another model. Within CData solutions, many-to-many columns are represented as text containing a comma-separated list of integers. Each value in that list is the ID of a row that is being referenced.
    • One-to-many columns are references to many rows within another model - they are similar to many-to-many columns (comma-separated lists of integers), except that each row in the referenced model must belong to only one in the main model.
  • Use SQL stored procedures to call server-side RFCs within Odoo.

Users frequently integrate Odoo with analytics tools such as Power BI and Qlik Sense, and leverage our tools to replicate Odoo data to databases or data warehouses.


Getting Started


Step 1: Configure Odoo connectivity for LibreChat

Connectivity to Odoo from LibreChat is made possible through Connect AI's Remote MCP Server. To interact with Odoo data from LibreChat, start by creating and configuring a Odoo connection in Connect AI.

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. Select Odoo from the Add Connection panel
  3. Enter the necessary authentication properties to connect to Odoo.

    To connect, set the Url to a valid Odoo site, User and Password to the connection details of the user you are connecting with, and Database to the Odoo database.

  4. Click Save & Test
  5. Navigate to the Permissions tab and update user-based permissions

Add a Personal Access Token

A Personal Access Token (PAT) is used to authenticate the connection to Connect AI from LibreChat. It is best practice to create a separate PAT for each integration to maintain granular access control.

  1. Click the gear icon () at the top right of the Connect AI app to open Settings
  2. On the Settings page, go to the Access Tokens section and click Create PAT
  3. Give the PAT a descriptive name and click Create
  4. Copy the token when displayed and store it securely. It will not be shown again

With the Odoo connection configured and a PAT generated, LibreChat can now connect to Odoo data through Connect AI.

Step 2: Install LibreChat and configure Connect AI MCP

Next, install LibreChat locally and configure the Connect AI Remote MCP Server so that the chat interface can discover and call live data tools through Connect AI.

  1. Install LibreChat by following the official installation guide. If you are using the npm setup, make sure MongoDB and MeiliSearch are installed and running locally
  2. Once the installation is complete, start LibreChat and open http://localhost:3080/ in your browser to access the chat interface
  3. In the left navigation bar, click the MCP Settings icon, then click Add MCP
  4. In the Add MCP panel, configure the server with the following values:
    • Name: CData MCP, or any name of your choice
    • Description: Optional description for the server
    • MCP Server URL: https://mcp.cloud.cdata.com/mcp
    • Transport: Streamable HTTPS
    • Authentication: API Key
    • Header Format: Basic
    • API Key: base64-encoded value of email:PAT

    Note: LibreChat will use Basic authentication with Connect AI. Combine your Connect AI user email and the PAT you created earlier in the format email:PAT, then base64 encode the combined string and paste it in the API Key field. For example, [email protected]:ABC123...XYZ789 base64-encoded becomes something like: dXNlckBkb21haW4uY29tOkFCQzEyMy4uLlhZWjc4OQ==

  5. Check I trust this application and click Add to save the server
  6. The CData MCP server now appears in the left navigation bar. Click the connect icon next to it to establish the connection to Connect AI

Enable the MCP server and configure an LLM provider

LibreChat requires at least one LLM provider to power the chat. Enable the MCP server in the chat input and add an API key for your preferred provider so the model can interpret prompts and call MCP tools through Connect AI.

  1. In the chat interface, click the MCP selector at the bottom of the input box and confirm that CData MCP is checked so the tools are exposed to the chat
  2. At the top of the chat, click the model selector and choose your preferred LLM provider (e.g., OpenAI, Anthropic, Google) and model
  3. Click Set API Key next to the chosen provider, paste your provider API key, and click Submit

With the MCP server and an LLM provider configured, LibreChat is ready to query live Odoo data through Connect AI.

Step 3: Query live Odoo data from LibreChat

With the integration complete, use the LibreChat chat input to interact with live Odoo data through natural language prompts handled by the configured LLM.

  1. With the CData MCP server enabled and a model selected, type a prompt in the chat input, for example:
    • List all catalogs in my cdata mcp
    • Show the available schemas and tables for Odoo
    • Query the top 5 records from a table in Odoo data
  2. LibreChat calls the Connect AI MCP Server and returns live results from Odoo data

At this point, your LibreChat instance communicates with the Connect AI MCP Server and retrieves live Odoo data through remote MCP tools directly from the chat interface.

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