Discover 42 MCPs built for LinkedIn.
Scrapes LinkedIn profiles to extract comprehensive professional data including experience, education, skills, and contact information.
Implements a Model Context Protocol (MCP) server for interacting with the Linkd platform.
Mines, searches, and enriches LinkedIn profile data with advanced AI and third-party API integrations.
Provides a Model Context Protocol (MCP) server that exposes advanced LinkedIn data collection and analysis tools.
Provides AI assistants with access to a database of LinkedIn profiles from the Headstarter community for intelligent querying and analysis.
Generate and manage sophisticated LinkedIn posts using a design system approach with component-based architecture, variants, and themes.
Automates the creation and scheduling of LinkedIn posts for consistent social media presence.
Automates content posting to LinkedIn profiles via browser automation.
Integrates LinkedIn APIs for AI assistants, enabling profile management, content creation, networking, messaging, and analytics.
Searches multiple job sites for AI/ML internships and full-time roles, applying specific filtering criteria.
Facilitates programmatic creation and management of LinkedIn posts and profile information through an MCP server.
Analyzes LinkedIn Ads performance, compares it to industry benchmarks, and provides data-driven optimization recommendations.
Integrates Reepl's AI-powered LinkedIn automation with Claude Desktop, allowing AI assistants to manage LinkedIn content and network interactions through natural conversation.
Manipulates text using Unicode tricks for steganography, bypassing filters, and creating puzzles.
Extends Claude Desktop with external capabilities while maintaining full control over data and processing using locally-hosted Model Calling Protocol (MCP) servers.
Implements Model Context Protocol (MCP) servers for LinkedIn profile scraping and weather data retrieval.
Scrapes LinkedIn job listings, performs AI-driven analysis against a candidate profile, persistently indexes relevant jobs, and offers an API for management and retrieval.
Exposes LinkedIn data as a Model Context Protocol (MCP) server, enabling LLMs to query live data through natural language.
Automates LinkedIn job scraping, decision-maker identification, and profile creation using n8n for effective outreach and data management.
Empowers AI assistants to access and interact with LinkedIn for data scraping, job recommendations, and searches.
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