linkedin-mcp-server and linkedin-mcpserver
These are competitors offering overlapping LinkedIn data access functionality, with A emphasizing web scraping capabilities while B focuses on official LinkedIn API integration, making them alternative approaches to the same use case rather than tools meant to work together.
About linkedin-mcp-server
stickerdaniel/linkedin-mcp-server
This MCP server allows Claude and other AI assistants to access your LinkedIn. Scrape LinkedIn profiles, companies and jobs, and perform job searches.
This tool helps professionals and recruiters automate gathering information from LinkedIn. You input a LinkedIn profile URL, company page, or job posting, and it outputs detailed data like candidate experience, company posts, or job requirements. It's ideal for HR professionals, sales teams, or job seekers who need to efficiently collect specific LinkedIn data.
About linkedin-mcpserver
felipfr/linkedin-mcpserver
A powerful Model Context Protocol server for LinkedIn API integration
This project helps AI assistants connect directly to LinkedIn to automate tasks. It takes requests from an AI assistant, like "find marketing jobs in NYC," processes them through the LinkedIn API, and returns structured data such as job listings or profile details. This is designed for developers building AI agents or smart assistants that need to interact with LinkedIn for tasks like lead generation, recruitment, or personalized outreach.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work