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A search for LinkedIn contacts who are decision makers in optical lab manufacturing in Europe

  • 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 - useful for finding contacts.

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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 primarily for generating posts, this could be adapted to gather information relevant to decision-makers in the optical lab industry.

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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?

    HubSpot CRM data integration could provide information about companies and contacts that might be relevant to optical lab manufacturers if their information is stored there.

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    Enables AI models to interact with HubSpot CRM data and operations through a standardized interface while providing a centralized shared space for teams to share conversation summaries in real time.
    8
    Python
    MIT License
    • Linux
    • Apple
  • Why this server?

    Although focused on git repositories, this server can leverage generated prompts and code for finding related information on LinkedIn.

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    Parses the HTML content from news.ycombinator.com (Hacker News) and provides structured data for different types of stories (top, new, ask, show, jobs).
    1
    15
    JavaScript
    MIT License
    • Apple
  • Why this server?

    This server allows to easily search the web, which is useful for finding relevant LinkedIn contacts and company information.

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    Searching google, individual websites and scraping their content. Fast and cost-effective. ⚡️
    16
    TypeScript
    MIT License
  • Why this server?

    This server provides AgentQL's data extraction capabilities enabling AI agents to get structured data from unstructured web which could help in extracting contact details from websites like LinkedIn.

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    A server that provides AgentQL's data extraction capabilities enabling AI agents to get structured data from unstructured web
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    183
    28
    JavaScript
    MIT License
    • Apple
    • Linux
  • Why this server?

    It has some good function, i.e., searching, I'm not sure whether it is useful on finding contacs in LinkedIn, but it's worth trying.

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    An MCP server that provides powerful search capabilities for Jewish texts and literature. This server enables Large Language Models to search and reference Jewish texts through a standardized interface.
    11
    Python
    MIT License