linkedin-mcp
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- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to connect to LinkedIn, accessing profiles and companies, searching for jobs and people, managing saved jobs, updating job-search profile settings, and inspecting analytics.1Apache 2.0
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- AlicenseBqualityBmaintenanceEnables AI agents to manage LinkedIn profiles, posts, connections, skills, education, certifications, and other professional data through the LinkedIn API.19MIT
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TDQS
Scored across 17 tools
Each tool targets a distinct action or query: auth status, session details, login, logout, CDP diagnostics, profile viewers, applications, saved jobs, job search, job detail, followed companies, own profile, notifications, save job, unsave job, unfollow company, server info. Even related tools like auth_status and session_info are clearly differentiated by scope.
All tools begin with 'linkedin_' and use snake_case, but the pattern mixes noun phrases (linkedin_my_profile, linkedin_notifications) with verb-noun (linkedin_search_jobs, linkedin_save_job) and state queries (linkedin_auth_status). While consistent in prefix, the verb usage is not uniform, though still readable.
17 tools is slightly above the ideal 3-15 range but each serves a distinct purpose, from session management to job and company interactions. The count is justified by the breadth of LinkedIn functionality covered, though a few are diagnostic or advisory.
The server covers the main job-search workflow (search, detail, saved, applications) and profile viewing, but has notable gaps: no way to follow a company (only unfollow), and the unsave_job tool is explicitly non-functional. Additionally, there is no tool for applying to jobs or editing profile, leaving some expected actions absent.