Is this server read-only or can it write data?
This MCP server is read-only. For full read, write, update, delete, and action capabilities, CData offers a free beta MCP Server for Salesforce with simplified setup.
@CDataSoftware
Basic information
This read-only MCP Server allows you to connect to Salesforce data from Claude Desktop through CData JDBC Drivers. Free (beta) read/write servers available at
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool 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.
salesforce-mcp-server-by-cdata is a read-only Model Context Protocol (MCP) server that allows LLMs like Claude Desktop to query live Salesforce data using natural language. It wraps the CData JDBC Driver for Salesforce, which exposes Salesforce data as relational SQL models.
Clone the repository, build with Maven (mvn clean install), install and license the CData JDBC Driver for Salesforce, create a .prp configuration file with your JDBC connection string, then add the server to your Claude Desktop config (claude_desktop_config.json) using a java -jar command. Run or refresh Claude Desktop to access the tools.
This MCP server is read-only. For full read, write, update, delete, and action capabilities, CData offers a free beta MCP Server for Salesforce with simplified setup.
You need Java (to run the JAR), Maven (to build), and the CData JDBC Driver for Salesforce installed and licensed on your machine.
The server uses `stdio` transport, so it can only be used with clients running on the same machine as the server.
No local data storage. The server queries live Salesforce data directly through the JDBC driver; all data remains in Salesforce.
Authentication is handled via the JDBC connection string builder. For OAuth-based sources, you will need to authenticate in your browser during connection setup.

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