linkedin-mcp-server-by-cdata
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CData's Model Context Protocol (MCP) Server for LinkedIn is a read-only server designed to allow LLMs to query live LinkedIn data using natural language.
The CData MCP Server for LinkedIn is a specialized server that facilitates the interaction between LinkedIn data and large language models (LLMs) by providing a read-only interface. This server leverages the CData JDBC Driver for LinkedIn, which exposes LinkedIn data as relational SQL models. By wrapping this driver, the MCP server enables LLMs to access live LinkedIn data through a simple interface, eliminating the need for SQL knowledge. This setup is particularly useful for applications like Claude Desktop, where users can query LinkedIn data using natural language. The server is built to be lightweight and easy to set up, making it accessible for developers and businesses looking to integrate LinkedIn data into their applications seamlessly.
Features
- Read-only access to LinkedIn data through a simple MCP interface.
- Integration with CData JDBC Driver for LinkedIn to expose data as SQL models.
- Enables LLMs to query LinkedIn data using natural language.
- Simplified setup process with detailed configuration instructions.
- Compatible with various platforms, including Windows, Mac, and Linux.
Tools
linkedin_get_tables
Retrieves a list of tables available in the data source.
linkedin_get_columns
Retrieves a list of columns for a specified table.
linkedin_run_query
Executes a SQL SELECT query on the LinkedIn data.