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 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.

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

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

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

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.

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.

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.

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 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.

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.

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.

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.

The LinkedIn Model Context Protocol (MCP) Server provides functions for automated LinkedIn interactions through a standardized interface, including job search, resume generation, cover letter writing, and job application management.

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.

A service based on the Model Context Protocol (MCP) that can automatically extract subtitles from YouTube videos and generate professional LinkedIn post drafts.

The LinkedIn MCP Server is a local service based on the Model Context Protocol that enables interaction with LinkedIn through AI assistants like Claude, supporting functions such as profile scraping, company information analysis, and job search.

The HDW MCP Server is a LinkedIn data access and management service based on the HorizonDataWave API, providing functions such as user search, profile acquisition, email lookup, post interaction, and account management, and supporting multi - platform configuration.

A service that implements the Model Context Protocol (MCP) for integrating LinkedIn ad data, providing ad campaign analysis, creative analysis, engagement company analysis, benchmark comparison, and optimization suggestions.

This project is a collection of localized MCP servers used to extend the functionality of the Claude desktop application. It includes services such as weather query and LinkedIn profile scraping, and supports autonomous data control and processing.

A server based on the MCP protocol that can automatically extract subtitles from YouTube videos and generate professional LinkedIn post drafts, supporting custom styles and formats.

Linkd MCP Server is an unofficial model context protocol server for the Linkd platform, supporting multiple tools such as searching for users, companies, and enriching LinkedIn information. It can be installed and configured via an API key.

A profile analysis tool based on the LinkedIn API that interacts with Claude AI through the MCP protocol to achieve the functions of obtaining, analyzing, and searching LinkedIn post data.

A LinkedIn profile scraping project based on FastMCP and httpx, which asynchronously fetches data through RapidAPI and can optionally include information such as skills and certifications.

A server based on the MCP protocol that can automatically extract subtitles from YouTube videos and generate professional LinkedIn post drafts.

CData's LinkedIn Ads MCP Server project exposes LinkedIn Ads data in a relational SQL model through the JDBC driver and builds a read - only MCP server interface, enabling LLMs to query real - time data through natural language.

A Python-based MCP server project for obtaining data from LinkedIn profiles and integrating it with the Anthropic API for analysis. The project is built with FastAPI, supports Docker containerization, and includes a complete development toolchain configuration.

This project includes multiple MCP server implementations, including weather, LinkedIn profile, and PubMed article query services, and supports integration with MCP clients.

This project is a server based on the MCP protocol, used to obtain real-time LinkedIn profile information, including public data such as skills. Through the integration of the Fresh LinkedIn Profile Data API, it provides asynchronous and secure JSON data return.

The read-only MCP server project for LinkedIn Ads provided by CData converts LinkedIn Ads data into a relational SQL model through the JDBC driver, enabling LLMs to query real-time data using natural language.

This is a Node.js-based MCP server for accessing LinkedIn data via the Proxycurl API, including personal profile, company information, and employee search functions.

This project contains multiple MCP server implementations, such as weather services, LinkedIn profile retrieval, and PubMed article retrieval, and supports integration with MCP clients.

The LinkedIn Job Posts Hunter MCP Server is a tool for automated LinkedIn job post search and management. It uses an AI assistant to call the Playwright browser automation tool to search for LinkedIn posts, saves the results to a local SQLite database, and provides a React visualization interface for post management and application tracking.

The LinkedIn MCP Server is a community management API service based on the MCP protocol, supporting local or remote deployment, implementing a third - party authorization process, and providing functions for user information retrieval and post publishing.

This project is a LinkedIn profile scraping MCP server that fetches LinkedIn profile information through the Fresh LinkedIn Profile Data API and returns it in JSON format. It supports asynchronous HTTP requests and environment variable configuration, and requires a RapidAPI key for authentication.

The Hatch MCP Server is a model context protocol server for Hatch API integration, providing functions such as finding email addresses, phone numbers, verifying emails, obtaining company data, and LinkedIn links.

This project implements two MCP servers for LinkedIn profile scraping and weather data retrieval, supporting seamless integration and communication of AI services.