Is this server read-only?
Yes, this server provides read-only access. For full read, write, update, delete, and action capabilities, use the free CData MCP Server for Salesforce Marketing (beta).
@CDataSoftware
基本情報
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 Salesforce Marketing (beta): https://www.cdata.com/download/download.aspx?sku=FEZK-V&type=beta
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"{classname_dash}": {
"command": "PATH\\TO\\java.exe",
"args": [
"-jar",
"PATH\\TO\\CDataMCP-jar-with-dependencies.jar",
"PATH\\TO\\salesforce-marketing.prp"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
A read-only MCP server that allows LLMs like Claude Desktop to query live Salesforce Marketing data using natural language. It wraps the CData JDBC Driver for Salesforce Marketing, exposing Salesforce Marketing data as relational SQL models through a simple MCP interface.
Clone the repository, build with mvn clean install, install and license the CData JDBC Driver for Salesforce Marketing, configure the JDBC connection string, create a .prp file with connection properties, then add the server to your AI client’s config file (e.g., claude_desktop_config.json). The server uses stdio transport and runs on the same machine as the client. No explicit SQL is needed—simply ask natural language questions.
Yes, this server provides read-only access. For full read, write, update, delete, and action capabilities, use the free CData MCP Server for Salesforce Marketing (beta).
Java, Maven, and the CData JDBC Driver for Salesforce Marketing (must be installed and licensed separately).
Create a `.prp` file with properties like DriverPath, DriverClass, and JdbcUrl. Use the JDBC Driver’s Connection String utility to generate the correct URL.
The server uses `stdio` transport, so it can only be used with clients running on the same machine.
Contact the CData Support Team for connection issues, or join the CData Community for general feedback and troubleshooting.
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