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Related Servers

Alternatives to LinkAgent

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      D
      maintenance
      MCP server for LinkedIn automation that enables AI agents to perform LinkedIn actions (search, inbox, feed, jobs, etc.) safely with human-like evasion and two-phase commit preview.
      2 npm
      2
      MIT
    • F
      license
      A
      quality
      A
      maintenance
      An MCP server that bridges LLMs with dynamic real-world data by leveraging Chrome DevTools Protocol to intercept and reconstruct network traffic, enabling AI agents to extract high-quality structured data from complex web environments.
      3
      89
      -
    • A
      license
      Not graded
      quality
      B
      maintenance
      Live LinkedIn data for AI agents: 44 tools for profiles, companies, jobs, posts, people search, job-change signals and email finding. Hosted remote server (streamable HTTP) - your agent never touches your own LinkedIn account. 300 free credits on signup, no card. Dockerfile in repo bridges stdio clients to the hosted endpoint via mcp-remote.
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      MCP server for programmable LinkedIn automation via Playwright, offering 20 tools for profile management, messaging, feed interaction, and job searching through real browser automation.
      18 npm
      MIT
    • A
      license
      A
      quality
      D
      maintenance
      High-performance autonomous MCP server that turns LinkedIn into an API for AI workflows, enabling profile management, job search, content posting, and document generation.
      14
      1
      MIT

    TDQS

    A3.5/5.0

    Scored across 16 tools

    Disambiguation5/5

    Each tool has a clear and distinct purpose: general browser automation tools (click, type, scroll, etc.) are separate from LinkedIn-specific tools (feed, profile, company, jobs, search). There is no ambiguity between get_text and get_value, or between type_text and send_keys.

    Naming Consistency4/5

    Tools follow a predictable snake_case pattern, but general tools use verb_noun (e.g., send_keys, navigate) while LinkedIn tools use domain_noun (e.g., linkedin_feed, linkedin_search). This slight inconsistency within the set prevents a perfect score.

    Tool Count5/5

    16 tools is well-scoped for a LinkedIn automation server. It provides a sufficient set of general browser interactions and dedicated LinkedIn scrapers without being excessive or sparse.

    Completeness4/5

    The tool set covers core LinkedIn data extraction (feed, profile, company, jobs, search) and essential browser actions. Minor gaps exist (e.g., no posting, messaging, or list connections), but these are likely out of scope for a scraping-focused server.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues