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Li Data Scraper MCP Server

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    • A
      license
      C
      quality
      D
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      Enables access to LinkedIn data including profile enrichment, company information, job searches, post analytics, and social interactions through the LinkedIn Api8 API with comprehensive search and data retrieval capabilities.
      51
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    • A
      license
      C
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      Enables access to comprehensive LinkedIn data, including professional profile details, company information, and social engagement metrics. It supports searching for people, retrieving posts and comments, and fetching detailed experience, skills, and recommendations.
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      license
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      Enables AI assistants to interact with LinkedIn using the official API for profile access, company management, and job postings.
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    • A
      license
      A
      quality
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      Enables capturing recent posts from LinkedIn profiles and company pages, including real reaction and comment counts and publicly visible commenters, without requiring a LinkedIn account, cookies, or credentials.
      1
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    • A
      license
      B
      quality
      C
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      Enables AI agents with read/write access to LinkedIn API, including profile, posts, media, organizations, comments, reactions, and analytics.
      20
      3 npm
      MIT

    TDQS

    C2.5/5.0

    Scored across 20 tools

    Disambiguation3/5

    There is significant overlap between tools targeting similar resources, such as get_profile_post_and_comments, get_profile_post_comment, and get_profiles_comments, which could confuse an agent about which to use for profile comments. However, descriptions help differentiate some tools, like distinguishing company vs. profile operations, preventing complete ambiguity.

    Naming Consistency2/5

    Naming is inconsistent with mixed patterns: most tools use get_* or search_* prefixes, but about_the_profile deviates, and some names are overly verbose or include escaped characters (e.g., get_profile_data_and_connection_u0026_follower_count). This lack of a uniform convention reduces predictability and readability.

    Tool Count3/5

    With 20 tools, the count is borderline high for a data scraper server, feeling slightly heavy but not extreme. It covers multiple domains (profiles, companies, posts, searches), which justifies some volume, but could benefit from consolidation to avoid overlap and improve coherence.

    Completeness4/5

    The tool set provides broad coverage for LinkedIn data scraping, including profile, company, post, comment, reaction, and search operations, with minor gaps such as missing update or delete tools (expected for read-only scraping) and no direct tool for managing credits or errors. Overall, it supports core workflows without major dead ends.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues