The LinkedIn Model Context Protocol (MCP) server provides functions for automated interaction with LinkedIn through a standardized JSON - RPC interface, including job search, resume generation, cover letter writing, and job application management.

The LinkedIn data collection MCP server authenticates by manually entering the account password and uses Selenium browser automation technology to scrape the complete information of LinkedIn profiles, including work experience, education background, skills, and contact information.

The LinkedIn Profile Data Mining MCP Server provides advanced search, profile extraction, contact information enrichment, and AI analysis functions

A LinkedIn profile analysis tool based on Claude AI that retrieves and manages LinkedIn post data through RapidAPI.

An OSINT tool that uses Serper to perform Google searches to collect LinkedIn employee lists

A LinkedIn automation server based on FastMCP, providing secure authentication, profile operations, and post interaction functions, and supporting browser - based automated data extraction.

The Linked API MCP Server is a tool that connects your LinkedIn account to AI assistants. It securely and automatically enables functions such as potential customer search, message sending, profile analysis, and market research through a cloud browser. It is suitable for scenarios such as sales automation, recruitment assistance, and conversation management.

A LinkedIn job search service based on the Model Context Protocol (MCP), which implements job search, detail retrieval, and location query functions through the RapidAPI LinkedIn Data API.

An MCP server based on the unofficial LinkedIn API, used to simplify the job search process on LinkedIn, inspired by the JobSpy project.

This project contains multiple MCP server implementations, providing services for weather queries, LinkedIn profile retrieval, and PubMed article searches.

This project includes multiple MCP (Model Context Protocol) server implementations, covering weather query, LinkedIn profile acquisition, and PubMed article retrieval functions, and supports integration with MCP clients.

Clado's official MCP server, which provides functions such as LinkedIn user search, profile enrichment, contact retrieval, content scraping, and interaction data analysis.

The HDW MCP Server is a service based on the Model Context Protocol (MCP), providing comprehensive access to LinkedIn data and functions, including user search, profile query, email search, post management, account management, and other functions.

The AnySite MCP Server is a multi - platform network data collection tool based on the model context protocol, supporting platforms such as LinkedIn, Instagram, Reddit, and Twitter. It provides real - time, structured network data access capabilities for AI agents.

This project is an MCP toolkit for educational purposes, demonstrating social platform content analysis techniques and their security risks. It includes data extraction and analysis tools for Reddit and LinkedIn.

An MCP service that provides LinkedIn feed and job search functions through an unofficial LinkedIn API

An MCP server based on the unofficial LinkedIn API that provides functions such as profile retrieval, job search, feed browsing, and resume parsing.

A LinkedIn data crawler tool that supports various data extractions such as personal profiles, company information, and post searches. It provides three usage methods: Python library, command line, and MCP server, and has a built-in anti-detection mechanism.

This is a LinkedIn data analysis service based on the MCP protocol, providing functions such as report creation, insight acquisition, and category query. It needs to be used with the Claude desktop application.

LinkedInMCP is an innovative model context protocol server designed to change the way developers interact with the LinkedIn API, providing an intelligent and secure framework for LinkedIn data retrieval and interaction.