A
licenseA
qualityB
maintenanceAn MCP server that lets AI assistants like Claude read LinkedIn data through your own logged-in browser session. Access profiles and companies, search for jobs, or get job details.
19
Apache 2.0
MCP Server for LinkedIn
by bartest5
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TDQS
A3.8/5.0
Scored across 17 tools
Disambiguation5/5
Each tool targets a distinct resource and action: messaging (get_inbox, search_conversations, get_conversation, send_message), profiles (get_my_profile, get_person_profile, get_sidebar_profiles), companies (get_company_profile, get_company_posts, search_companies, get_company_employees), jobs (search_jobs, get_job_details), and general actions (search_people, connect_with_person, get_feed, close_session). Even similarly named tools like get_inbox and get_conversation have clear boundaries.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern in snake_case: get_, search_, connect_, send_, close_. The verbs are simple and the nouns clearly indicate the target resource, making the pattern predictable and easy to learn.
Tool Count4/5
With 17 tools, this is slightly above the typical 'sweet spot' of 3-15, but the count is justified by the broad scope of LinkedIn (profiles, companies, jobs, messaging, feed). Each tool serves a distinct function and none feel redundant, so the size is reasonable though a bit heavy.
Completeness4/5
The tool surface covers core LinkedIn workflows: searching and viewing profiles, companies, jobs, messaging, and feed. However, some common actions are missing, such as updating a profile, posting content, liking/sharing posts, or managing connections beyond sending requests. These gaps are workable but notable.
Maintenance
ActivitySlowing
ResponsivenessNo issues