Is Marketo MCP Server by CData read-write or read-only?
This version is read-only. For full read, write, update, delete, and action capabilities, CData offers a separate free beta MCP Server for Marketo.
@CDataSoftware
基本信息
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 Marketo (beta): https://www.cdata.com/download/download.aspx?sku=DKZK-V&type=beta
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"{classname_dash}": {
"command": "PATH\\TO\\java.exe",
"args": [
"-jar",
"PATH\\TO\\CDataMCP-jar-with-dependencies.jar",
"PATH\\TO\\marketo.prp"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
Marketo MCP Server by CData is a read-only Model Context Protocol (MCP) server that allows large language models (LLMs) like Claude Desktop to query live Marketo data through natural language. It wraps the CData JDBC Driver for Marketo, which exposes Marketo as relational SQL models, so no SQL is required from the user.
Clone the repository, build with Maven (mvn clean install), install and license the CData JDBC Driver for Marketo, create a connection string and a .prp configuration file, then configure Claude Desktop by adding the server to claude_desktop_config.json. Run or refresh Claude Desktop; the server’s tools become available for asking questions about Marketo data.
stdio transport (local machine only)This version is read-only. For full read, write, update, delete, and action capabilities, CData offers a separate free beta MCP Server for Marketo.
You need Java, Maven (to build), and the CData JDBC Driver for Marketo (installed and licensed separately).
If Marketo uses OAuth, you authenticate interactively in your browser when creating the JDBC connection string using the driver’s Connection String utility.
The server uses `stdio` transport and can only be used with MCP clients running on the same machine.
The data remains in Marketo; the server queries it live through the JDBC driver and returns results in CSV format via MCP tools.
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