LinkedIn MCP Server by CData

@CDataSoftware

リポジトリ

基本情報

カテゴリ

その他

トランスポート

stdio

作者

CDataSoftware

投稿者

Cameron Leblanc

LinkedIn MCP Server by CData について

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 の設定

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\\linkedin.prp"
      ]
    }
  }
}

LinkedIn MCP Server by CData のツール

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。

概要

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

よくある質問

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.