Skip to main content
Glama
developer-tusharchauhan

linkedin-mcp

by developer-tusharchauhan
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Related Servers

Alternatives to linkedin-mcp

No user-submitted related servers found.

    Related Servers

    • LinkedIn MCP Server

      Sabari2005
      A
      license
      A
      quality
      B
      maintenance
      Lets an AI assistant operate LinkedIn through an authenticated browser session, enabling profile management, posting, networking, messaging, job search, and automated applications.
      100
      56 npm
      1
      MIT

    • linkedin-pilot

      juanpacj-wq
      F
      license
      C
      quality
      C
      maintenance
      Enables an AI agent to drive a real LinkedIn account through a persistent browser session, covering full profile editing, people and content interactions (searching, connecting, messaging, posting, reacting), and job search with step-by-step Easy Apply submissions. It reads data through LinkedIn's internal Voyager API while writing through the actual UI, with a saved answer bank so repeated application questions are resolved automatically.
      39
      -

    • LinkedIn MCP Server

      pauling-ai
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables natural language interaction with LinkedIn, including profile retrieval, job searching, messaging, and post engagement.
      3
      Apache 2.0
    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 11 tools

    Disambiguation5/5

    Each tool addresses a distinct action: session management, posting, profile reads/writes, job search, job details, and applications. There's no functional overlap—even the profile updates target different sections (headline vs. about vs. experience vs. education) clearly.

    Naming Consistency4/5

    Most tools follow a verb_noun pattern (get_, update_, create_, search_, check_session), but 'easy_apply' and 'login' deviate from that convention. Still, names are readable and predictable enough.

    Tool Count5/5

    11 tools is well-scoped for a LinkedIn automation server. Each tool covers a meaningful operation—auth, posting, profile management, job search, and applying—without unnecessary bloat or obvious missing essential features.

    Completeness4/5

    The set covers the primary workflows: post creation, profile retrieval and updates (headline, about, experience, education), job search, job details, and Easy Apply. Gaps include lack of update/delete for existing experience/education entries and no post deletion/editing, but these are not critical for typical automation tasks.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources