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LinkedIn MCP Server by CData

@CDataSoftware

Repository

Basic information

Category

Other

Transports

stdio

Author

CDataSoftware

Submitted by

Cameron Leblanc

About 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

LinkedIn MCP Server by CData config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "{classname_dash}": {
      "command": "PATH\\TO\\java.exe",
      "args": [
        "-jar",
        "PATH\\TO\\CDataMCP-jar-with-dependencies.jar",
        "PATH\\TO\\linkedin.prp"
      ]
    }
  }
}

LinkedIn MCP Server by CData tools

Tool 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.

Overview

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

Frequently asked questions

1

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.

2

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.

3

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.

4

What transport does the server use?

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

5

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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