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qualityEnables AI assistants to interact with LinkedIn data through the Model Context Protocol, allowing profile searches, job discovery, messaging, and network analytics.
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TypeScript
MIT License
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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.
Why this server?
While primarily for generating posts, this could be adapted to gather information relevant to decision-makers in the optical lab industry.
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.
Why this server?
Although focused on git repositories, this server can leverage generated prompts and code for finding related information on LinkedIn.
Why this server?
This server allows to easily search the web, which is useful for finding relevant LinkedIn contacts and company information.
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.
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.