LinkedIn MCP Server by CData

Name: LinkedIn MCP Server by CData
Author: CDataSoftware

@CDataSoftware

关于 LinkedIn 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 (beta): https://www.cdata.com/download/download.aspx?sku=CLZK-V&type=beta

#linkedin #mcp-server #cdata

基本信息

分类

其他

传输方式

stdio

发布者

CDataSoftware

提交者

Cameron Leblanc

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.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 MCP Server by CData?

LinkedIn MCP Server by CData is a read-only Model Context Protocol server that allows LLMs such as Claude Desktop to query live LinkedIn data using natural language. It leverages the CData JDBC Driver for LinkedIn to expose LinkedIn data as relational SQL models, requiring no SQL from the user.

How to use LinkedIn MCP Server by CData?

Clone the repository, build with Maven, install and license the CData JDBC Driver for LinkedIn, configure the connection string using the driver’s utility, and create a .prp file with JDBC properties. Add the server to your client’s configuration (e.g., claude_desktop_config.json) and run the client. The server communicates via stdio, so the client must be on the same machine.

Key features of LinkedIn MCP Server by CData

Read-only access to live LinkedIn data via MCP
Natural language querying through AI assistants
Built on the CData JDBC Driver for LinkedIn
Exposes tables, columns, and SQL SELECT queries as tools
MIT licensed – free to use, modify, and distribute

Use cases of LinkedIn MCP Server by CData

Ask an AI assistant for live LinkedIn analytics without writing SQL
Explore LinkedIn data schemas interactively through an LLM
Integrate LinkedIn data into AI-powered reports or dashboards
Quickly prototype data queries before building full applications

FAQ from LinkedIn MCP Server by CData

What is the difference between this server and the CData MCP Server for LinkedIn (beta)?

This project is a read-only MCP server. For full read, write, update, delete, and action capabilities with simplified setup, use the free CData MCP Server for LinkedIn (beta) available from CData.

What runtime dependencies are required?

Java (to run the JAR), Maven (to build), and the CData JDBC Driver for LinkedIn must be installed and licensed on the same machine as the MCP server.

Where does the data reside?

The server connects to live LinkedIn data through the CData JDBC Driver. Data remains on LinkedIn’s servers; the MCP server queries it in real time.

What transport does the server use?

The server uses stdio transport, so it can only be used with clients running on the same machine.

How is authentication handled?

Authentication is configured via the JDBC connection string (e.g., InitiateOAuth=GETANDREFRESH). OAuth is handled by the CData JDBC Driver, which opens a browser for authentication when needed.

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