LinkedIn Ads MCP Server by CData
@CDataSoftware
关于 LinkedIn Ads MCP Server by CData
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 LinkedIn Ads (beta): https://www.cdata.com/download/download.aspx?sku=EBZK-V&type=beta
基本信息
配置
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\\linkedin-ads.prp"
]
}
}
}工具
未检测到工具
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。
概览
What is LinkedIn Ads MCP Server by CData?
LinkedIn Ads MCP Server by CData is a read-only Model Context Protocol (MCP) server that lets large language models (LLMs) query live LinkedIn Ads data using natural language questions. It wraps the CData JDBC Driver for LinkedIn Ads, which exposes LinkedIn Ads data as relational SQL tables. The server is intended for developers who want to integrate LinkedIn Ads analytics into AI assistants like Claude Desktop.
How to use LinkedIn Ads MCP Server by CData?
Clone the repository, build with mvn clean install, download and license the CData JDBC Driver for LinkedIn Ads, use the driver’s connection string utility to configure OAuth and copy the JDBC URL, then create a .prp file with connection properties. Configure Claude Desktop by adding an entry to claude_desktop_config.json pointing to the built JAR and property file. Once the client is launched, ask natural language questions about your LinkedIn Ads data without writing SQL.
Key features of LinkedIn Ads MCP Server by CData
- Read-only access to live LinkedIn Ads data
- Powered by the CData JDBC Driver for LinkedIn Ads
- Exposes SQL tables via MCP tools
- Supports OAuth authentication
- Uses
stdiotransport for local clients
Use cases of LinkedIn Ads MCP Server by CData
- Query campaign performance using natural language
- Analyze ad spend and return on investment
- Retrieve account and audience insights
- Integrate LinkedIn Ads data into AI-powered dashboards
FAQ from LinkedIn Ads MCP Server by CData
Is the server read-only?
Yes, this MCP server is read-only. For full read, write, update, delete, and action capabilities, CData offers a free beta version of the CData MCP Server for LinkedIn Ads.
What runtime dependencies are required?
You need Java (to run the JAR), Maven (to build the project), and the CData JDBC Driver for LinkedIn Ads installed and licensed on the same machine as the client.
How is authentication handled?
Authentication is configured via the JDBC driver’s connection string utility. OAuth is initiated automatically when you test the connection; you must authenticate in your browser.
Where does the data reside?
Data stays in LinkedIn Ads. The server sends SQL queries through the JDBC driver to retrieve live results; no data is stored locally.
What transport does the server use?
The server uses stdio transport, so it can only be used with clients running on the same machine.
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