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Why this server?
This server is a strong fit as it directly provides 'programmatic LinkedIn automation and data extraction through browser automation' and 'tools for profile operations', which aligns with finding people and extracting their data on LinkedIn.
Why this server?
This unofficial server explicitly offers 'LinkedIn tools for searching users, enriching profiles, retrieving contact information, and conducting deep research through natural language interfaces,' directly matching the user's intent.
Why this server?
The server 'enables AI assistants to interact with LinkedIn programmatically for job searching, resume/cover letter generation, and managing job applications through standardized JSON-RPC requests.' While focused on job applications, 'interact with LinkedIn programmatically' implies finding people related to these applications.
Why this server?
This server is highly relevant as it 'enables extraction of comprehensive LinkedIn profile data including experience, education, skills, and contact information through browser automation,' directly addressing the need to find people's information.
Why this server?
This server directly supports the user's need by enabling 'seamless integration with LinkedIn for job applications, profile retrieval, feed browsing, and resume analysis through natural language commands,' with 'profile retrieval' being a key function.
Why this server?
This tool 'seamlessly integrates with Claude AI to fetch and analyze public LinkedIn profiles, enabling users to extract, search, and analyze posts data,' which directly addresses finding and analyzing people's information by name.
Why this server?
This server 'enables AI assistants to interact with LinkedIn data through the Model Context Protocol, allowing profile searches, job discovery, messaging, and network analytics,' directly supporting the search for people's profiles.
Why this server?
This server is explicitly designed to 'enable Claude to access and analyze LinkedIn profile data through the Model Context Protocol, allowing users to query their LinkedIn information directly,' which is a direct match for finding people by name.
Why this server?
This server 'bridges language models with LinkedIn's API, enabling profile access, posting content, searching people, and retrieving company information through standardized tools,' making 'searching people' a direct fit for the user's request.
Why this server?
This server 'connects your LinkedIn account to AI assistants... Ask them to search for leads, send messages, analyze profiles,' indicating direct functionality for finding people and analyzing their profiles on LinkedIn.