Is this server read-only?
Yes, this MCP server is read-only. For full CRUD capabilities, use the free CData MCP Server for QuickBooks Time (beta).
@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 QuickBooks Time (beta): https://www.cdata.com/download/download.aspx?sku=HCZK-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\\quickbooks-time.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 (Model Context Protocol) server that enables LLMs like Claude Desktop to query live QuickBooks Time data using natural language, powered by the CData JDBC Driver for QuickBooks Time.
Clone the repository, build the server with Maven, install and license the CData JDBC Driver for QuickBooks Time, configure a connection string using the driver’s utility, create a .prp property file with JDBC details, then add the server to Claude Desktop’s claude_desktop_config.json. Run or refresh the client to start querying.
get_tables, get_columns, run_queryYes, this MCP server is read-only. For full CRUD capabilities, use the free CData MCP Server for QuickBooks Time (beta).
Java Runtime Environment (JRE) is required. The server runs locally and communicates via stdio.
Use the CData JDBC Driver’s connection string utility to generate a JDBC URL with OAuth or other credentials, then store it in a `.prp` file.
Data remains in QuickBooks Time; the server queries it live via the JDBC driver. No local data is stored.
The server uses stdio transport and can only be used with clients running on the same machine.
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