LinkedIn MCP Server
Related Servers
Alternatives to LinkedIn MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseAqualityFmaintenanceEnables 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.7189MIT
- AlicenseNot gradedqualityBmaintenanceEnables natural language interaction with LinkedIn, including profile retrieval, job searching, messaging, and post engagement.3Apache 2.0
- AlicenseAqualityBmaintenanceAn MCP server that lets AI assistants like Claude read LinkedIn data through your own logged-in browser session. Access profiles and companies, search for jobs, or get job details.19Apache 2.0
- AlicenseAqualityCmaintenanceAn MCP server that lets AI assistants like Claude read LinkedIn data through your own logged-in browser session. Access profiles and companies, search for jobs, or get job details.17Apache 2.0
- AlicenseAqualityCmaintenanceEnables AI assistants to access and interact with LinkedIn data—profiles, messaging, jobs, companies, and more—via MCP, with remote or local deployment.22285 npm10MIT
- FlicenseNot gradedqualityCmaintenanceEnables AI-powered LinkedIn automation, including content generation, profile and company data extraction, connection requests, and post scraping through MCP tools.-
TDQS
Scored across 13 tools
Each tool targets a distinct function: jobs, people, companies, session management, posting, and link diagnosis. No two tools have overlapping purposes; even session-related tools have clear boundaries (e.g., close_browser vs logout_and_cleanup).
All tool names follow a consistent verb_noun snake_case pattern (e.g., get_job_details, search_people, check_session_status). Verbs are descriptive and nouns clearly indicate the resource or action.
13 tools cover core LinkedIn operations without being excessive. Each tool serves a clear purpose, and the count feels well-scoped for a practical MCP server.
The set covers job search, profile retrieval, company info, posting, and session management, but lacks personalized features like viewing the user's own profile, managing connections, or retrieving applied jobs. These gaps limit full automation of LinkedIn workflows.