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LinkedIn Data API MCP Server

by BACH-AI-Tools
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Python
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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

    C2.3/5.0

    Scored across 52 tools

    Disambiguation2/5

    Multiple tools serve very similar purposes, such as several profile data retrieval tools (get_profile_data, get_profile_data_by_url, get_profile_data_and_connection_&_follower_count, etc.) and two search_jobs tools, making it difficult to distinguish the appropriate tool.

    Naming Consistency2/5

    Naming conventions are inconsistent: most tools use 'get_' but some use 'search_', 'about_', or 'health_'. Additionally, some names include encoded characters like 'u0026' or ampersands, breaking uniformity.

    Tool Count3/5

    With 52 tools, the count is high but not unreasonable for a comprehensive LinkedIn data API. However, substantial redundancy (e.g., multiple profile data variations) inflates the number unnecessarily.

    Completeness4/5

    The tool set covers a wide range of LinkedIn data: profiles, companies, jobs, posts, articles, search, and recommendations. Minor gaps exist, such as lack of write operations, but for a read-only data enrichment API, completeness is strong.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources