What does this server do?
It makes Oracle Sales data available to AI assistants through the Model Context Protocol, allowing read-only queries of live data via natural language.
@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 Oracle Sales (beta): https://www.cdata.com/download/download.aspx?sku=EOZK-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\\oracle-sales.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.
A read-only MCP server that uses the CData JDBC Driver for Oracle Sales to let LLMs (e.g., Claude Desktop) query live Oracle Sales data by asking natural language questions—no SQL required.
Clone the repository, build with mvn clean install, download and license the CData JDBC Driver for Oracle Sales, configure a .prp file with your connection details, then add the server to Claude Desktop using the claude_desktop_config.json file pointing to the JAR and .prp file.
It makes Oracle Sales data available to AI assistants through the Model Context Protocol, allowing read-only queries of live data via natural language.
Java, Maven (to build), and the CData JDBC Driver for Oracle Sales, which requires a license (trial or paid).
Data stays in Oracle Sales Cloud; the server queries it live through the CData JDBC Driver—no local copy is created.
This server is read-only. For full CRUD operations and easier setup, use CData’s beta MCP Server for Oracle Sales. It also uses stdio transport, so it only works with clients on the same machine.
The server communicates via stdio (standard input/output) and supports JSON-RPC 2.0 requests for tool calls.
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