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A guide to finding people on LinkedIn by their names

  • Why this server?

    This server enables AI assistants to interact with LinkedIn data through the Model Context Protocol, allowing profile searches, job discovery, messaging, and network analytics, which is relevant for finding people in LinkedIn.

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    Enables AI assistants to interact with LinkedIn data through the Model Context Protocol, allowing profile searches, job discovery, messaging, and network analytics.
    1
    TypeScript
    MIT License
    • Apple
  • Why this server?

    A Model Context Protocol server that automates generating LinkedIn post drafts from YouTube videos. This server provides high-quality, editable content drafts based on YouTube video transcripts.

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    A Model Context Protocol (MCP) server that automates generating LinkedIn post drafts from YouTube videos. This server provides high-quality, editable content drafts based on YouTube video transcripts.
    6
    2
    JavaScript
    MIT License
    • Apple
  • Why this server?

    Provides tools for analyzing Instagram engagement metrics, extracting demographic insights, and identifying potential leads from Instagram posts and accounts. While not directly LinkedIn, it touches on similar professional networking aspects.

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    Provides tools for analyzing Instagram engagement metrics, extracting demographic insights, and identifying potential leads from Instagram posts and accounts.
    3
    2
    JavaScript
    MIT License
  • Why this server?

    MCP server for Mamont search engine

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    MCP server for Mamont search engine
    2
    TypeScript
    MIT License
  • Why this server?

    A Model Context Protocol server that retrieves LinkedIn profile information and activity data, which can be helpful in finding details about individuals.

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    A server implementing the Model Context Protocol that enables users to retrieve LinkedIn profile information and activity data via EnrichB2B API, and generate text using OpenAI GPT-4 or Anthropic Claude models.
    Python
    • Linux