linkedin-mcp
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TDQS
Scored across 11 tools
Each tool targets a distinct LinkedIn action (login, session check, create post, send connection, send message, scrape profile, scrape feed, search jobs, apply to job, list invites, list connections). Even similar functions like scraping profile vs. sending connection request are clearly separated by purpose, with no two tools overlapping in behavior.
All tools follow the 'linkedin_' prefix plus a snake_case verb_noun pattern (e.g., linkedin_create_post, linkedin_list_connections). Even the outlier 'linkedin_session_status' uses a consistent noun-like phrase, but the naming is uniform and predictable across the entire set.
With 11 tools, the server covers a broad set of LinkedIn capabilities without being bloated. Each tool serves a clear, distinct purpose, from authentication and session management to content creation, messaging, scraping, job search, and application. The count is well within the ideal 3-15 range and feels appropriately scoped for a LinkedIn assistant.
The surface covers core workflows: posting, messaging, connection requests, profile/feed reading, job search, and Easy Apply. Minor gaps exist such as accepting/rejecting invitations, editing/deleting posts, or reacting to content, but the available tools handle the most common personal LinkedIn tasks without dead ends.