Is this server read-only or read-write?
This server is read-only. For full read, write, update, delete, and action capabilities, CData offers a free beta MCP Server for Odoo.
@CDataSoftware
Basic information
This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free [CData MCP Server for Odoo (beta)](https://www.cdata.com/download/download.aspx?sku=OEZK-V&type=beta).
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"{classname_dash}": {
"command": "PATH\\TO\\java.exe",
"args": [
"-jar",
"PATH\\TO\\CDataMCP-jar-with-dependencies.jar",
"PATH\\TO\\odoo.prp"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Odoo MCP Server by CData is a read-only Model Context Protocol (MCP) server that wraps the CData JDBC Driver for Odoo, exposing Odoo data as relational SQL models so LLMs like Claude Desktop can query live data through natural language.
Clone the repository, build with Maven, install and license the CData JDBC Driver for Odoo, configure a .prp file with your JDBC connection string, then add the server to your client’s mcpServers config (e.g., Claude Desktop) and restart the client.
This server is read-only. For full read, write, update, delete, and action capabilities, CData offers a free beta MCP Server for Odoo.
Java and Maven are required to build and run the server, and the CData JDBC Driver for Odoo must be installed and licensed separately.
The server uses stdio transport, so it can only be used with clients running on the same machine.
Create a `.prp` file with properties such as Prefix, ServerName, DriverPath, DriverClass (cdata.jdbc.odoo.OdooDriver), JdbcUrl, and Tables, then point the MCP server to that file.
Three tools are available: `{servername}_get_tables`, `{servername}_get_columns`, and `{servername}_run_query` for executing SQL SELECT queries.

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