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"How to find people on LinkedIn using their name" matching MCP servers:

  • name-variants

    SecurityRonin
    A
    license
    -
    quality
    A
    maintenance
    Multilingual name romanization lookup across Chinese, Japanese, Korean, Arabic, Vietnamese, and more. Resolves whether two name spellings refer to the same person — Chan/Chen/陳/陈, Hsu/Xu, Chou/Zhou — across Pinyin, Wade-Giles, Cantonese, Hokkien, and other romanization systems.
    MIT

  • How-To-Cook

    xiaobenyang-com
    A
    license
    B
    quality
    D
    maintenance
    An AI recipe recommendation server based on the MCP protocol, providing functions such as recipe query, classification filtering, intelligent dietary planning, and daily menu recommendation.
    5
    1
    Apache 2.0

  • korean-people-persona

    civilian7
    F
    license
    -
    quality
    B
    maintenance
    MCP server for querying a database of 1 million Korean personas with full-text search, enabling AI agents to retrieve detailed demographic, professional, and personal profiles.
    22

  • find-a-book-mcp

    Xiaochengzi2048
    A
    license
    A
    quality
    B
    maintenance
    An MCP server for searching and downloading books from Library Genesis, supporting EPUB, MOBI, PDF, and more through natural language queries.
    3
    23
    6
    MIT

  • LinkedIn MCP Server

    francisco-perez-sorrosal
    A
    license
    A
    quality
    D
    maintenance
    Enables Claude to access and analyze LinkedIn profile data through the Model Context Protocol, allowing users to query their LinkedIn information directly within Claude Desktop.
    4
    1
    MIT

  • LinkedIn MCP Server

    prakharagarwal-dev
    A
    license
    -
    quality
    A
    maintenance
    A standalone MCP server that exposes typed LinkedIn capabilities (jobs, people, companies, posts, invitations, messaging) through the visible LinkedIn web UI, enabling workflow automation.
    2
    Apache 2.0

  • io.github.sathvic

    sathvic-kollu
    A
    license
    -
    quality
    C
    maintenance
    MCP server that enriches LinkedIn profiles, companies, and enables people search using the Techtenstein LinkedIn Enrichment API.
    MIT

  • MCP LinkedIn

    o2alexanderfedin
    A
    license
    -
    quality
    D
    maintenance
    An MCP server that enables users to interact with LinkedIn feeds and search for job listings through natural language. It provides tools for retrieving recent feed posts and searching for professional opportunities based on specific keywords and locations.
    The Unlicense

  • Linkedin-Profile-Analyzer

    rugvedp
    A
    license
    -
    quality
    D
    maintenance
    A powerful LinkedIn Profile Analyzer that seamlessly integrates with Claude AI to fetch and analyze public LinkedIn profiles, enabling users to extract, search, and analyze posts data through RapidAPI's LinkedIn Data API.
    32
    MIT

  • linkedin-mcp

    Shrushti8
    F
    license
    -
    quality
    C
    maintenance
    Automates LinkedIn job search and Easy Apply using Playwright and Claude Code, with tools for login, job search, form filling, and batch applications.

  • linkedin-ops

    yasir-ali9
    F
    license
    -
    quality
    C
    maintenance
    MCP server that enables AI assistants to search LinkedIn for job posts, save them locally, and manage them via a React dashboard.

  • LinkedIn Jobs MCP Server

    administrativetrick
    A
    license
    A
    quality
    C
    maintenance
    Enables users to search LinkedIn's public job listings with advanced filters like location, salary, and experience level. It allows MCP-compatible clients to retrieve real-time job opportunities without requiring LinkedIn authentication or API keys.
    1
    2
    MIT

  • linkedin-mcp-pro

    horizonbymuneeb
    A
    license
    A
    quality
    A
    maintenance
    Self-hosted, ban-safe MCP server for LinkedIn that provides 22 tools for profiles, search, jobs, posts, connections, and messages. Integrates with any MCP-compatible client like Claude Desktop.
    58
    1
    MIT