- LinkedIn MCP Server by CData
LinkedIn MCP Server by CData
What is LinkedIn MCP Server by CData?
The LinkedIn MCP Server by CData is a read-only Model Context Protocol (MCP) server designed to allow large language models (LLMs) to query live data from LinkedIn using natural language, without the need for SQL.
How to use LinkedIn MCP Server?
To use the LinkedIn MCP Server, clone the repository, build the server, install the CData JDBC Driver for LinkedIn, configure your connection, and create a configuration file for your AI client (e.g., Claude Desktop).
Key features of LinkedIn MCP Server?
- Provides a read-only interface to LinkedIn data for LLMs.
- Allows querying of live data using natural language.
- Simplifies data access without requiring SQL knowledge.
Use cases of LinkedIn MCP Server?
- Querying LinkedIn data for insights using AI.
- Integrating LinkedIn data into AI applications.
- Enabling natural language queries for business intelligence.
FAQ from LinkedIn MCP Server?
- Can I write data to LinkedIn using this server?
No, this server is read-only. For write capabilities, check the full CData MCP Server for LinkedIn.
- Is there a trial version available?
Yes, a trial version of the CData JDBC Driver for LinkedIn is available for download.
- What programming languages can I use with this server?
The server can be used with any programming language that can execute Java commands.
Server Config
{
"mcpServers": {
"{classname_dash}": {
"command": "PATH\\TO\\java.exe",
"args": [
"-jar",
"PATH\\TO\\CDataMCP-jar-with-dependencies.jar",
"PATH\\TO\\linkedin.prp"
]
}
}
}