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⇱ A server for accessing LinkedIn, the professional networking platform | Glama

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A server for accessing LinkedIn, the professional networking platform

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  • Why this server?

    This server is a strong fit as it directly targets LinkedIn, offering comprehensive profile search, data extraction, and contact enrichment, which aligns perfectly with a broad 'LinkedIn' search.

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    Enables comprehensive LinkedIn profile search, data extraction, and contact enrichment using Google Search, Apollo.io, and AI-powered analysis. Includes automated data mining workflows with database storage and CSV export capabilities.
    Last updated
    3

  • Why this server?

    This server is highly relevant as it provides LinkedIn-native AI content creation, scheduling, and analytics, which are core functionalities related to LinkedIn.

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    LinkedIn-native AI content creation, scheduling & analytics. Write and post on LinkedIn, create drafts, generate hooks & hashtags, schedule posts, and track engagement — all through natural language.
    Last updated
    21
    MIT

  • Why this server?

    This server is an excellent match because it specifically enables various LinkedIn data operations, including user search, profile enrichment, and scraping, directly addressing the 'LinkedIn' query.

  • Why this server?

    With 'LinkedIn Intelligence' in its name and a description focusing on AI-powered networking, profile research, and content on LinkedIn, this server is very relevant to the search.

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    Connects Claude Desktop to LinkedIn's data layer for AI-powered networking, enabling profile research, content creation and scheduling, engagement automation, analytics tracking, and messaging through natural language.
    Last updated
    85
    31
    MIT

  • Why this server?

    This server explicitly mentions enabling AI agents to manage professional networking on LinkedIn, including posting updates, job searching, and profile analysis, making it a direct fit.

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    Enables AI agents to manage professional networking on LinkedIn by providing tools for posting updates, searching for jobs, and analyzing profiles. It facilitates secure interaction with the LinkedIn platform through OAuth 2.0 authentication and the Model Context Protocol.
    Last updated
    17
    10
    MIT

  • Why this server?

    This server directly integrates with LinkedIn for job applications, profile retrieval, and feed browsing, providing key functionalities for a 'LinkedIn' search.

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    A Model Context Protocol server that enables seamless interaction with LinkedIn for job applications, profile retrieval, feed browsing, and resume analysis through natural language commands.
    Last updated
    30

  • Why this server?

    As an unofficial MCP server, it provides specific LinkedIn tools for searching users, enriching profiles, and retrieving contact information, directly matching the user's general query.

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    An unofficial Model Context Protocol server that provides LinkedIn tools for searching users, enriching profiles, retrieving contact information, and conducting deep research through natural language interfaces.
    Last updated
    5
    6
    5
    MIT

  • Why this server?

    This server's primary function is automated LinkedIn lead generation and outreach, making it highly relevant for anyone looking for LinkedIn-related tools.

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    Enables automated LinkedIn lead generation and outreach through profile search, AI-powered lead scoring, personalized message generation, and automated follow-up sequences. Includes API key management with tier-based usage limits and PostgreSQL-backed tracking.
    Last updated

  • Why this server?

    This server is a strong match as it enables searching and scraping LinkedIn for structured data on people, companies, and job listings, fulfilling various LinkedIn data needs.

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    Enables searching and scraping of LinkedIn for structured data on people, companies, and job listings. It allows AI clients to retrieve detailed profiles, experience, and activity sections using browser automation.
    Last updated
    7
    145
    MIT