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linkedin-mcp-server

by Jrudani21
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.7/5.0

    Scored across 19 tools

    Disambiguation5/5

    Every tool targets a distinct resource and action, from profiles (get_my_profile, get_person_profile) to companies (get_company_profile, get_company_posts) to messaging (get_inbox, send_message). Even potentially overlapping tools like get_feed, get_company_posts, and search_posts are clearly separated by their descriptions, and naming follows a predictable resource-oriented pattern.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun snake_case convention: connect_, get_, search_, send_, close_. There is no mixing of camelCase, hyphenation, or inconsistent verb styles. The pattern is immediately understandable and memorable.

    Tool Count3/5

    At 19 tools, this server sits in the 16-25 range described as heavy. While each tool has a distinct purpose and covers a broad set of LinkedIn features (profiles, companies, jobs, messaging, posts), the count is at the upper edge and feels somewhat overcrowded compared to a typical well-scoped server. Some consolidation, such as folding sidebar profiles into a more general search, could reduce cognitive load.

    Completeness4/5

    The server covers a wide range of LinkedIn operations including read access to profiles, companies, jobs, messaging, and feed content, plus write actions like connecting and sending messages. Obvious gaps include the lack of content creation (e.g., posting, commenting) and profile updates, but these are not core to the apparent outreach/job-hunting use case and can be worked around with external tools.

    Maintenance

    ActivityActive
    ResponsivenessSyncing

    Resources