A
licenseA
qualityC
maintenanceEnables AI assistants to access LinkedIn data through the user's logged-in browser session, supporting profiles, companies, job searches, messaging, and feed/posts.
21
Apache 2.0
LinkedIn MCP Server
by abetoluwani
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TDQS
A3.8/5.0
Scored across 19 tools
Disambiguation5/5
Each tool targets a distinct resource/action: people, companies, jobs, messaging, feed, and session management. Overlapping tools like get_feed/search_posts/get_company_posts and get_company_employees/search_people are explicitly differentiated in their descriptions, so an agent should not misselect.
Naming Consistency5/5
All tool names follow a verb_noun snake_case pattern, primarily get_* and search_*, with a few clear action verbs like send_message, connect_with_person, and close_session. The naming is predictable and consistent across the full set.
Tool Count3/5
At 19 tools, the server is in the 16-25 range that feels heavy, even though the LinkedIn domain is broad. Some niche helpers like get_sidebar_profiles and close_session could be considered non-essential, but the count is not extreme enough to be chaotic.
Completeness4/5
Core workflows are covered end-to-end: search people, companies, and jobs; retrieve details; connect; message; and read feeds/inbox. Obvious gaps are modest, such as no ability to post content, manage connections, or apply to jobs, but these are not central to the apparent sales/recruiting use case.
Maintenance
ActivitySlowing
ResponsivenessNo issues