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A method for finding people on LinkedIn by their name

  • 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. It directly addresses the user's need to find people on 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?

    While not directly for finding people, this server can help generate content for LinkedIn profiles, which could indirectly assist in researching or identifying individuals through their posts.

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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?

    This enables direct interaction with LinkedIn's API, which could allow for searching profiles if the functionality is exposed through the API for broader profile management and data retrieval.

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    security
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    Enables AI language models to interact with Microsoft OneNote via a standardized interface, supporting notebook and page management through natural language.
    2
    TypeScript