Skip to main content
Glama
timkulbaev

mcp-linkedin

by timkulbaev
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
Remote

Related Servers

Alternatives to mcp-linkedin

No user-submitted related servers found.

    Related Servers

    • linkedin-mcp-server

      MCP-Layer
      A
      license
      Not graded
      quality
      B
      maintenance
      A production-ready MCP server that enables AI agents to autonomously create, manage, and engage with LinkedIn content through the official LinkedIn REST API.
      115 npm
      2
      MIT

    • SalesTouch

      antoineDsh
      A
      license
      Not graded
      quality
      B
      maintenance
      MCP server for AI-native LinkedIn prospecting. It enables lead research, audience building, conversation management, and controlled outreach actions such as messaging and publishing through an OAuth-protected remote endpoint.
      2
      MIT

    • linkedin-mcp

      rzere
      A
      license
      Not graded
      quality
      C
      maintenance
      MCP server that lets AI agents operate a real LinkedIn account in plain English with safety controls and approval queues.
      13 npm
      1
      MIT

    • linkedin-mcp

      aneesh-a7
      A
      license
      Not graded
      quality
      C
      maintenance
      A personal-use remote MCP server that lets you post to LinkedIn, queue/schedule drafts, and pull your own post analytics from Claude.
      13 npm
      MIT

    • LinkedIn MCP Server

      souravdasbiswas
      A
      license
      Not graded
      quality
      F
      maintenance
      An MCP server for LinkedIn REST API v2 that enables AI assistants to create, list, and delete posts, manage events, upload images, comment, and react—featuring OAuth 2.0 with session persistence, local post history tracking, and multiple automated tests
      115 npm
      13
      MIT
    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

    A4.1/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool targets a distinct LinkedIn action: commenting, publishing, or reacting. There is no overlap or ambiguity; an agent can clearly distinguish them.

    Naming Consistency5/5

    All tools follow a consistent 'linkedin_verb' pattern in snake_case. The verbs are descriptive and uniform.

    Tool Count3/5

    Three tools is low but acceptable for a focused engagement set. However, it feels slightly thin for a full LinkedIn integration.

    Completeness3/5

    The set covers posting, commenting, and reacting, but lacks delete, update, or retrieval features, leaving notable gaps for content lifecycle management.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources