LinkedIn Api8 MCP Server

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TDQS

C2.4/5.0

Scored 2026-05-10 02:35 across 51 tools

Disambiguation2/5

Many tools overlap significantly, such as multiple 'get company details' tools (get_company_details, get_company_details_by_id, get_company_insights_premium) and duplicate search tools (search_jobs, search_jobs_v2). This creates ambiguity for an agent selecting the correct tool.

Naming Consistency4/5

Most tools follow a consistent 'get_<resource>_<detail>' pattern, but there are deviations like 'health_check' and excessively long names with 'and' and '&' encoded (e.g., get_profile_data_connection_u0026_follower_count_and_pos). Overall, the pattern is mostly predictable.

Tool Count2/5

With 51 tools, the server is over-scoped for its apparent purpose. Many tools could be merged (e.g., multiple company detail tools) or are redundant (e.g., two search jobs tools), leading to unnecessary complexity.

Completeness4/5

The tool set covers a wide range of LinkedIn data: profiles, companies, jobs, posts, articles, recommendations, and interests. While it lacks write operations, for a data enrichment/ scraping API, it is fairly comprehensive and covers core use cases.