Frequently Asked Questions

Q: What is an MCP Server? A: MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. An MCP Server acts as a bridge, allowing AI models to access and interact with external data sources and tools.

Q: What is the purpose of the LinkedIn DI MCP Server? A: The LinkedIn DI MCP Server allows Claude and other MCP-compatible clients to interact with your Digital Intelligence LinkedIn by Audiense account, providing tools to create and analyze reports, get insights, categories, and typeahead suggestions.

Q: What are the prerequisites for using this server? A: You need Node.js (v18 or higher), Claude Desktop App, a LinkedIn Account with appropriate permissions, and Auth0 Authentication credentials.

Q: How do I configure Claude Desktop to use this server? A: Open the configuration file (claude_desktop_config.json) and add or update the mcpServers configuration with the correct path to your index.js file. Ensure you restart Claude Desktop after making changes.

Q: What is the get-linkedin-typeahead tool used for? A: This tool gets LinkedIn typeahead suggestions for a specific facet and query, allowing you to search for entities like companies, job titles, skills, etc.

Q: How do I authenticate with the server? A: The server uses Auth0 device authorization flow. Use the initiate-linkedin-device-auth tool to start the authorization flow and follow the instructions in your browser.

Q: What if the tools are not appearing in Claude? A: Check Claude Desktop logs, verify environment variables, and ensure the absolute path to index.js is correct.

Q: Where can I find the server logs? A: On MacOS/Linux, use tail -n 20 -f ~/Library/Logs/Claude/mcp*.log. On Windows, use Get-Content -Path "$env:AppDataClaudeLogsmcp*.log" -Wait -Tail 20.

Q: Is this server intended for personal or official LinkedIn accounts? A: This server is intended for use with official LinkedIn accounts only.

Q: What security measures should I take when using this server? A: Keep API credentials secure, never expose them in public repositories, and use environment variables to manage sensitive data.

Q: What is UBOS? A: UBOS is a Full-stack AI Agent Development Platform focused on bringing AI Agents to every business department, allowing you to orchestrate AI Agents, connect them with enterprise data, and build custom AI Agents with your LLM model and Multi-Agent Systems.